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| This page provides a comprehensive list of research outputs generated by Horizon 2020 and Horizon Europe Research and Innovation projects in the domains of Cloud, Edge and IoT, under the EUCloudEdgeIoT umbrella. | | This page provides a comprehensive list of research outputs generated by Horizon 2020 and Horizon Europe Research and Innovation projects in the domains of Cloud, Edge and IoT, under the EUCloudEdgeIoT umbrella. |
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| ===Book chapters===
| | The publications listed below have been categorised, can be filtered and a full text search is available at the top of the listing. |
| {| class="wikitable sortable"
| |
| ! Project !! Title !! Year !! DOI !! Programme
| |
| |-
| |
| ! [[aerOS]]
| |
| | Semantics for Resource Selection in Next Generation Internet of Things Systems || 2024 || https://doi.org/10.1007/978-3-031-58502-9_19 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Approaching Interoperability and Data-Related Processing Issues in a Human-Centric Industrial Scenario || 2025 || https://doi.org/10.1007/978-3-031-78572-6_2 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | $$\text {T}^{2}$$GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting || 2025 || https://doi.org/10.1007/978-3-032-05114-1_57 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Sicherheitsmechanismen des Cloud-Computings zur Verwendung in Korrekturverfahren || 2025 || https://doi.org/10.1007/978-3-658-45180-6_14 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Leveraging Expert Knowledge for Real-Time Online Adaptation of Intraoperative Liver Registration || 2024 || https://doi.org/10.1007/978-3-031-75291-9_11 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Marginal Cost of Computation as a Collaborative Strategy for Resource Management at the Edge || 2025 || https://doi.org/10.1007/978-3-031-81226-2_3 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | An Implemented Architecture for a Meta Operating System Managing Distributed Applications Across Heterogeneous Resources || 2025 || https://doi.org/10.1007/978-3-031-87778-0_36 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Anonymous Authenticated Key Exchange || 2025 || https://doi.org/10.1007/978-3-031-95761-1_18 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Approaching Interoperability and Data-Related Processing Issues in a Human-Centric Industrial Scenario || 2025 || https://doi.org/10.1007/978-3-031-78572-6_2 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Runtime Energy Monitoring for RISC-V Soft-Cores || 2025 || https://doi.org/10.1007/978-3-031-96099-4_27 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Challenges and Opportunities for RISC-V Architectures towards Genomics-basedWorkloads || 2023 || https://doi.org/10.1007/978-3-031-40843-4_34 || Horizon Europe
| |
| |-
| |
| ! [[Terminet]]
| |
| | Edge Networking Technology Drivers for Next-generation Internet of Things in the Terminet Project || 2024 || https://doi.org/10.1201/9781032632407-2 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Federated Learning Models in Decentralized Critical Infrastructure || 2024 || https://doi.org/10.1201/9781032632407-7 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Achieving Security and Privacy in NG-IoT using Blockchain Techniques || 2024 || https://doi.org/10.1201/9781032632407-15 || Horizon 2020
| |
| |}
| |
|
| |
|
| ===Conference proceedings===
| | The categories are: |
| {| class="wikitable sortable"
| |
| ! Project !! Title !! Year !! DOI !! Programme
| |
| |-
| |
| ! [[AC3]]
| |
| | XAI-enabled fine granular vertical resources autoscaler || 2023 || https://doi.org/10.1109/NetSoft57336.2023.10175438 || Horizon Europe
| |
| |-
| |
| ! [[AC3]]
| |
| | Dynamic deployment prediction and configuration in hybrid cloud / edge computing environments using influence-based learning || 2023 || https://doi.org/10.1109/EECSI59885.2023.10295768 || Horizon Europe
| |
| |-
| |
| ! [[ACES]]
| |
| | FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning || 2024 || https://doi.org/10.48550/arxiv.2312.04432 || Horizon Europe
| |
| |-
| |
| ! [[ACES]]
| |
| | FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks || 2023 || https://doi.org/10.48550/arxiv.2310.02113 || Horizon Europe
| |
| |-
| |
| ! [[ACES]]
| |
| | Using Range-Revocable Pseudonyms to Provide Backward Unlinkability in the Edge (Extended Version) || 2023 || https://doi.org/10.1145/3576915.3623111 || Horizon Europe
| |
| |-
| |
| ! [[ACES]]
| |
| | PoTR: Accurate and Efficient Proof of Timely-Retrievability for Storage Systems || 2024 || https://doi.org/10.1109/PRDC59308.2023.00023 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | How many FIDO protocols are needed? Analysing the technology, security and compliance || || https://doi.org/10.1145/3654661 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction || || https://doi.org/10.1109/ICC45041.2023.10279739 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Side-Channel Analysis of OpenVINO-based Neural Network Models || || https://doi.org/10.48550/ARXIV.2407.16467 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Immutability and non-repudiation in the exchange of key messages within the EU IoT-Edge-Cloud Continuum || || https://doi.org/10.1145/3664476.3669918 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A Proof of Concept Implementation of an AI-assisted User-Centric 6G Network || 2024 || https://doi.org/10.1109/EUCNC/6GSUMMIT60053.2024.10597020 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A Chatbot Assistant for Optimizing the Fault Detection and Diagnostics of Industry 4.0 Equipment in the 6G era || 2024 || https://doi.org/10.1109/CSCN60443.2023.10453129 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Towards More Explainable and Traceable AI: Gray-boxed Design in a Case of Microservice Allocation || 2024 || https://doi.org/10.1109/INISTA62901.2024.10683838 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Side-Channel and Fault Resistant ASCON Implementation: A Detailed Hardware Evaluation || 2024 || https://doi.org/10.1109/ISVLSI61997.2024.00063 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A Novel Approach to Self-* Capabilities in IoT Industrial Automation Computing Continuum || 2024 || https://doi.org/10.1109/WF-IOT58464.2023.10539408 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications || 2024 || https://doi.org/10.1109/WCNC57260.2024.10570768 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | User Request Provisioning Oriented Slice Anomaly Prediction and Resource Allocation in 6G Networks || 2024 || https://doi.org/10.1109/ICC51166.2024.10622281 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Real-time Container Orchestration Based on Time-utility Functions || 2024 || https://doi.org/10.1109/WFCS60972.2024.10541041 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | RMF: A Risk Measurement Framework for Machine Learning Models || 2024 || https://doi.org/10.1145/3664476.3670867 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Joint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6G || 2024 || https://doi.org/10.1109/WCNC57260.2024.10571186 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Emerging IoT Applications and Architectures for Smart Maritime Container Terminals || 2023 || https://doi.org/10.1109/WF-IoT58464.2023.10539383 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Profit-Aware Proactive Slicing Resource Provisioning with Traffic Uncertainty in Multi-Tenant FlexE-over-WDM Networks || 2024 || https://doi.org/10.1109/ICC51166.2024.10622595 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Another Look at Side-Channel Resistant Encoding Schemes || 2024 || https://doi.org/10.1109/TVLSI.2024.3390614 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Multi-Quay Combined Berth and Quay Crane Allocation using the Cuckoo Search Algorithm || 2024 || https://doi.org/10.5220/0012553400003702 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Extended Green Cloud – Modeling Cloud Infrastructure with Green Energy Sources || 2023 || https://doi.org/10.1007/978-3-031-37616-0_37 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Review and Critical Analysis of Ontologies for Artificial Intelligence Systems || 2024 || https://doi.org/10.1007/978-981-97-0855-0_70 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Dynamic Edge AI Service Management and Adaptation Via Off-Policy Meta-Reinforcement Learning and Digital Twin || 2024 || https://doi.org/10.1109/ICC51166.2024.10622765 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G || 2024 || https://doi.org/10.1109/ICC51166.2024.10622533 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | IoT for the Maritime Industry: Challenges and Emerging Applications || 2023 || https://doi.org/10.15439/2023F3625 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic || 2023 || https://doi.org/10.1145/3600160.3605086 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Is Performance of Object Storage Predictable for Serverless I/O Workloads? A Comparative Study || || https://doi.org/10.1109/ICNP59255.2023.10355617 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Glider: Serverless Ephemeral Stateful Near-Data Computation || || https://doi.org/10.1145/3590140.3629119 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Practical Storage-Compute Elasticity for Stream Data Processing || || https://doi.org/10.1145/3626562.3626828 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Pravega: A Tiered Storage System for Data Streams || || https://doi.org/10.1145/3590140.3629113 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | The Nanoservices Framework: Co-Locating Microservices in the Cloud-Edge Continuum || || https://doi.org/10.1109/ICNP59255.2023.10355592 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | On Data Processing through the Lenses of S3 Object Lambda || 2023 || https://doi.org/10.1109/INFOCOM53939.2023.10228890 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Quantifying Serverless Elasticity: The gumeter Benchmark Suite || 2025 || https://doi.org/10.5281/ZENODO.17701734 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Exploring Secure and Efficient Temporary Data Sharing between co-located Kubernetes Containers || 2024 || https://doi.org/10.1109/ICNP61940.2024.10858528 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Let It Unthread: The Good, The Bad and The Ugly within WebAssembly Portable Multithreading || 2025 || https://doi.org/10.1109/CCGRID64434.2025.00018 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons || 2025 || https://doi.org/10.48550/ARXIV.2508.05287 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing || 2024 || https://doi.org/10.48550/ARXIV.2408.06822 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | A Reliability Score for Video-Analytics Edge-IoT Devices in Urban Environments || 2025 || https://doi.org/10.1109/DCOSS-IOT65416.2025.00100 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Understanding the Latency-Security Tradeoff: TEE-based Confidential Computing for Streaming Workloads || 2025 || https://doi.org/10.1109/ICNP65844.2025.11192400 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Serverful Functions: Leveraging Servers in Complex Serverless Workflows (industry track) || 2025 || https://doi.org/10.1145/3700824.3701095 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Coupling Orchestration and DNS for Seamless Service Migration in the Edge–Cloud Continuum || 2025 || https://doi.org/10.1109/ICNP65844.2025.11192408 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Data-Connector: An Agent-Based Framework for Autonomous ML-Based Smart Management in Cloud-Edge Continuum || 2025 || https://doi.org/10.1109/ICNP61940.2024.10858515 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Integrating Reliability into Intent-Driven Orchestration on Kubernetes-based Edge Nodes || 2025 || https://doi.org/10.1109/ICNP65844.2025.11192389 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | "Back to the Byte"": Towards Byte-oriented Semantics for Streaming Storage"" || 2025 || https://doi.org/10.1145/3700824.3701099 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics || 2025 || https://doi.org/10.1145/3652892.3700753 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Dynamic In-node Group-Aware Scheduling for Multi-Tenant Machine Learning Services on Kubernetes || 2025 || https://doi.org/10.1109/CLOUD67622.2025.00017 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Towards Multi-Tier Stream Data Tiering in the Cloud-Edge Continuum || 2025 || https://doi.org/10.1109/ICNP61940.2024.10858547 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Mobility Usecase: Intelligent Service Migration in Cloud-Edge Continuum || 2025 || https://doi.org/10.1109/ICNP65844.2025.11192452 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Intelligent Optimization of Distributed Pipeline Execution in Serverless Platforms: A Predictive Model Approach || 2025 || https://doi.org/10.1145/3702634.3702951 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Mosaic: Optimizing Cloud Resource Efficiency with Lazily-Packaged Application Modules || 2025 || https://doi.org/10.1145/3721465.3721864 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | StreamSense: Policy-driven Semantic Video Search in Streaming Systems || 2025 || https://doi.org/10.1145/3700824.3701097 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Is It Time To Put Cold Starts In The Deep Freeze? || 2025 || https://doi.org/10.1145/3698038.3698527 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Manifesting the Elasticity of Serverless Data Pipelines: a Metabolomics Use Case || 2025 || https://doi.org/10.1145/3774899.3775018 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Optimizing WebAssembly Garbage Collection in Go: Performance Insights, Tuning Tips, and Batch Execution Strategies || 2025 || https://doi.org/10.1109/ICDCS63083.2025.00071 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software || 2025 || https://doi.org/10.1109/ISSRE62328.2024.00020 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | SinClave || 2025 || https://doi.org/10.1145/3590140.3629107 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | A Last-Level Defense for Application Integrity and Confidentiality || 2023 || https://doi.org/10.48550/arxiv.2311.06154 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Triad: Trusted Timestamps in Untrusted Environments || 2023 || https://doi.org/10.48550/arXiv.2311.06156 || Horizon Europe
| |
| |-
| |
| ! [[CODECO]]
| |
| | Unlocking the Path Towards AI-Native Networks with Optimized Lightweight Large Language Models || 2024 || https://doi.org/10.5281/ZENODO.12168011 || Horizon Europe
| |
| |-
| |
| ! [[CoGNETs]]
| |
| | Decentralized Management of IoT Platform Federations and Data Marketplaces || 2025 || https://doi.org/10.1007/978-3-031-78572-6_7 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | HFL: Hardware Fuzzing Loop with Reinforcement Learning || 2025 || https://doi.org/10.23919/DATE64628.2025.10993080 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Mind the CORS || 2023 || https://doi.org/10.1109/TPS-ISA58951.2023.00035 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks || 2025 || https://doi.org/10.1109/DSN64029.2025.00053 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | RLFuzz: Accelerating Hardware Fuzzing with Deep Reinforcement Learning || 2025 || https://doi.org/10.1109/HOST64725.2025.11050051 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Bridging the Interoperability Gaps Among Trusted Architectures in MCUs || 2025 || https://doi.org/10.1007/978-981-95-3543-9_15 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Certified Secure Updates for IoT Devices || 2025 || https://doi.org/10.1007/978-3-031-92882-6_11 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Device Behavioral Profiling for Autonomous Protection Using Deep Neural Networks || 2023 || https://doi.org/10.1109/ISCC58397.2023.10218275 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | μIPS: Software-Based Intrusion Prevention for Bare-Metal Embedded Systems || 2023 || https://doi.org/10.1007/978-3-031-51482-1_16 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Shedding Light on Static Partitioning Hypervisors for Arm-based Mixed-Criticality Systems || 2023 || https://doi.org/10.1109/rtas58335.2023.00011 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | The Nonce-nce of Web Security: an Investigation of CSP Nonces Reuse || 2023 || https://doi.org/10.1007/978-3-031-54129-2_27 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | AppBox: A Black-Box Application Sandboxing Technique for Mobile App Management Solutions || 2023 || https://doi.org/10.1109/ISCC58397.2023.10217861 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning || 2024 || https://doi.org/10.48550/arxiv.2312.04432 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Cyber-physical metropolitan area digital substations test bench for evaluating intrusion detection systems || 2024 || https://doi.org/10.36227/techrxiv.171778519.94792591/v1 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Efficient and Safe I/O Operations for Intermittent Systems || 2023 || https://doi.org/10.1145/3552326.3587435 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | BUSted!!! Microarchitectural Side-Channel Attacks on the MCU Bus Interconnect || 2024 || https://doi.org/10.1109/SP54263.2024.00062 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices || 2024 || https://doi.org/10.1109/SP54263.2024.00182 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Graph Neural Networks for Anomaly Anticipation in HPC Systems || 2025 || https://doi.org/10.1145/3578245.3585335 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning || 2024 || https://doi.org/10.1109/COINS61597.2024.10622558 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment || 2025 || https://doi.org/10.1109/COINS65080.2025.11125776 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions || 2025 || https://doi.org/10.23919/DATE64628.2025.10992749 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System || 2025 || https://doi.org/10.1145/3624062.3624263 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle || 2025 || https://doi.org/10.1145/3649153.3649201 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | DECICE || 2023 || https://doi.org/10.48550/arxiv.2305.02697 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | SecureExecutor: An Automated Way to Leverage SCONE to Enhance Application Security || 2024 || https://doi.org/10.1109/CSR61664.2024.10679349 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Benchmarking an EDGELESS Cluster for Serverless Edge Computing Applications || 2025 || https://doi.org/10.5281/ZENODO.15012917 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | EDGELESS: A Software Architecture for Stateful FaaS at the Edge || 2024 || https://doi.org/10.1145/3625549.3658817 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | EDGELESS Project: On the Road to Serverless Edge AI || 2023 || https://doi.org/10.1145/3589010.3594890 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Characterizing Distributed Mobile Augmented Reality Applications at the Edge || 2023 || https://doi.org/10.1145/3624354.3630584 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Energy Efficient Deep-Edge Computing through Hardware Machine Learning || || https://doi.org/10.1109/WF-IOT58464.2023.10539522 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Identity and Access Management for the Computing Continuum || 2025 || https://doi.org/10.1145/3721889.3721926 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Scheduling Latency-Sensitive Tasks in the Cloud Continuum with Hierarchical Reinforcement Learning || 2025 || https://doi.org/10.1109/NOMS57970.2025.11073729 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Cross-Domain Telemetry Architecture: Real-Time Metrics in the Computing Continuum || 2024 || https://doi.org/10.5281/ZENODO.14938299 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest || 2025 || https://doi.org/10.18653/V1/2025.ACL-INDUSTRY.27 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Measured Firmware Management for Integrity of Edge Devices || 2025 || https://doi.org/10.1109/ISCAS56072.2025.11043882 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | MIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-Orchestration || 2025 || https://doi.org/10.1145/3721889.3721921 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | IoT Devices Resource Management through Extending Kubernetes Device Plugin || 2025 || https://doi.org/10.1109/SSI65953.2025.11107219 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Balancing Energy Efficiency and Infrastructure Knowledge in Cloud-to-Edge Task Distribution Systems || 2024 || https://doi.org/10.1145/3642975.3678965 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Scheduling Multi-Component Applications Across Federated Edge Clusters With Phare || 2024 || https://doi.org/10.1109/OJCOMS.2024.3377917 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Benchmarking Different Strategies for Offloading ROS2 Computation to the Edge || 2024 || https://doi.org/10.1109/NetSoft60951.2024.10588914 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Dynamic Frequency-Based Side-Channel Attack against Modern Sandbox Environments || 2024 || https://doi.org/10.1109/EuroSP60621.2024.00025. || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Latency-aware Scheduling in the Cloud-Edge Continuum || 2024 || https://doi.org/10.1109/NOMS59830.2024.10575183 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Multi-agent reinforcement learning-based energy orchestrator for cyber-physical systems || 2023 || https://doi.org/10.1007/978-3-031-49361-4_6 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Demonstrating Runtime Microservice Rescheduling || 2024 || https://doi.org/10.1109/ICIN60470.2024.10494495 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Stateless Job Offloading for Mobile Robots in Kubernetes || 2024 || https://doi.org/10.1145/3642975.3678966 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Pruning Federated Learning Models for Anomaly || 2023 || https://doi.org/10.1109/BigData59044.2023.10386446 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Enabling Compute and Data Sovereignty with Infrastructure-Level Data Spaces || 2023 || https://doi.org/10.1145/3624486.3624509 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Resource-Efficient Federated Learning || 2024 || https://doi.org/10.1109/NetSoft60951.2024.10588938 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Is the Computing Continuum Already Here? || 2022 || https://doi.org/10.48550/arXiv.2309.09822 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Online Learning and Model Pruning Against Concept Drifts in Edge Devices || 2024 || https://doi.org/10.1109/NetSoft60951.2024.10588946 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Building the Cloud Continuum with REAR || 2024 || https://doi.org/10.1109/NetSoft60951.2024.10588885 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | By-default Security Orchestration on distributed Edge/Cloud Computing Framework || 2023 || https://doi.org/10.1109/NETSOFT57336.2023.10175478 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Enhancing Network Intrusion Detection: An Online Methodology for Performance Analysis || 2023 || https://doi.org/10.1109/NetSoft57336.2023.10175465 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Ambusher: Exploring the Security of Distributed SDN Controllers Through Protocol State Fuzzing || 2024 || https://doi.org/10.1109/TIFS.2024.3402967 || Horizon Europe
| |
| |-
| |
| ! [[HYPER-AI]]
| |
| | Reducing IoT Data for Highly Efficient Cloud Storage || 2025 || https://doi.org/10.1016/J.PROCS.2025.03.026 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Deploying AI-Based Applications with Serverless Computing in 6G Networks: An Experimental Study || || https://doi.org/10.1109/VTC2024-FALL63153.2024.10757855 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Development of the EDGE-CLOUD solutions across domain || || https://doi.org/10.5281/ZENODO.11546628 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | New challenges in the implementation of digital projects in agriculture || || https://doi.org/10.5281/ZENODO.11077200 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Enhanced Smart Advertising through Federated Learning || 2023 || https://doi.org/10.1109/IWCMC58020.2023.10183266 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | COOLER: Cooperative Computation Offloading in Edge-Cloud Continuum Under Latency Constraints via Multi-Agent Deep Reinforcement Learning || 2024 || https://doi.org/10.1109/ICCNS62192.2024.10776151 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Potential of implementing operational metasystems in agriculture using the ICOS project as an example || 2023 || https://doi.org/10.5281/ZENODO.11077225 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-edge Orchestrator || 2025 || https://doi.org/10.1007/978-3-031-90203-1_6 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | An NIDS for Known and Zero-Day Anomalies || 2023 || https://doi.org/10.1109/DRCN57075.2023.10108319 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | LOMOS: An AI-Based Runtime Security Monitoring System Fit for the Cloud Continuum || 2025 || https://doi.org/10.1007/978-3-031-90203-1_1 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | An Edge/Cloud Continuum with Wearable Kinetic Energy Harvesting IoT Devices in Remote Areas || 2024 || https://doi.org/10.1109/ICC51166.2024.10622285 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Multi-component Application Mapping Across the Continuum || 2025 || https://doi.org/10.1007/978-3-031-90203-1_8 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing || 2023 || https://doi.org/10.1145/3587889.3588210 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Runtime security monitoring by an interplay between rule matching and deep learning-based anomaly detection on logs || 2023 || https://doi.org/10.5281/ZENODO.7937448 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum || 2024 || https://doi.org/10.1109/CCGRID59990.2024.00048 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | ClusterLink: Redefining Application Connectivity for the Multi-cloud Era || 2025 || https://doi.org/10.1109/CLOUD67622.2025.00030 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Placing Computational Tasks Within Edge-Cloud Continuum: A DRL Delay Minimization Scheme || 2025 || https://doi.org/10.1007/978-3-031-90203-1_4 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Adaptive Machine Learning for Resource-Constrained Environments || 2025 || https://doi.org/10.1007/978-3-031-82346-6_1 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Zenoh: Unifying Communication, Storage and Computation from the Cloud to the Microcontroller || 2024 || https://doi.org/10.1109/DSD60849.2023.00065 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | An Experimental Study of the Response Time in an Edge-Cloud Continuum with ClusterLink || 2025 || https://doi.org/10.1007/978-3-031-90203-1_7 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Towards a Functional Continuum Operating System – ICOS MetaOS || 2025 || https://doi.org/10.1007/978-3-031-78572-6_8 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | ICOS: An Intelligent MetaOS for the Continuum || 2025 || https://doi.org/10.1145/3721889.3721929 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Evaluating the Impact of Inter-Cluster Communications in Edge Computing || 2025 || https://doi.org/10.1109/NOMS57970.2025.11073714 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Uplink NOMA for UAV-Aided Maritime Internet-of-Things || 2023 || https://doi.org/10.1109/DRCN57075.2023.10108290 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Learning to Fulfill the User Demands in 5G-enabled Wireless Networks through Power Allocation: a Reinforcement Learning approach || 2023 || https://doi.org/10.1109/DRCN57075.2023.10108389 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Towards Optimal Serverless Function Scaling in Edge Computing Network || 2023 || https://doi.org/10.48550/ARXIV.2305.13896 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Hierarchical Management of Extreme-Scale Task-Based Applications || 2023 || https://doi.org/10.1007/978-3-031-39698-4_8 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Scaling Serverless Functions in Edge Networks: A Reinforcement Learning Approach || 2023 || https://doi.org/10.48550/ARXIV.2305.13130 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Sandboxing Functions For Efficient and Secure Multi-tenant Serverless Deployments || 2024 || https://doi.org/10.5281/ZENODO.11545513 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | A Minimal Testbed for Experimenting with Flexible Resource and Application Management in Heterogeneous Edge-Cloud Systems || 2023 || https://doi.org/10.5555/3639940.3639992 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Orbital Shield: Rethinking Satellite Security in the Commercial Off-the-Shelf Era || 2024 || https://doi.org/10.23919/3S60530.2024.10592292 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection || 2024 || https://doi.org/10.1145/3643833.3656133 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Transparent Handover of Automated Drone Missions between Edge-based Control Stations || 2023 || https://doi.org/10.5555/3639940.3639953 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Supporting the Adaptive Deployment of Modular Applications in Cloud-Edge-Mobile Systems || 2023 || https://doi.org/10.5555/3639940.3639966 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Agents in the computing continuum: the MLSysOps perspective || 2023 || https://doi.org/10.5555/3639940.3639991 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems || 2024 || https://doi.org/10.48550/ARXIV.2406.02311 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Disjunctive Multi-Level Digital Forgetting Scheme || 2024 || https://doi.org/10.1145/3605098.3635904 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Reinforcement Learning Techniques for Optimizing System Configuration on the Cloud: A Taxonomy and Open Problems || 2023 || https://doi.org/10.5555/3639940.3639995 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Workflow Optimization for Parallel Split Learning || 2024 || https://doi.org/10.48550/ARXIV.2402.10092 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications || 2024 || https://doi.org/10.48550/ARXIV.2409.04764 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Fingerprinting of Cellular Infrastructure Based on Broadcast Information || 2024 || https://doi.org/10.1007/978-3-031-51476-0_5 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware Impairments || 2024 || https://doi.org/10.1109/ACSAC63791.2024.00094 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | AIRISC - A mmWave Angle-Insensitive Reconfigurable Intelligent Surface Communication System || 2023 || https://doi.org/10.5555/3639940.3639961 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing || || https://doi.org/10.48550/ARXIV.2602.23935 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Radio Resource Optimization in LoRa IoT Networks for Smart Cities: An Approach Based on the Firefly Algorithm || 2025 || https://doi.org/10.1109/PERCOMWORKSHOPS65533.2025.00157 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | DPUConfig: Optimizing ML Inference in FPGAs Using Reinforcement Learning || 2026 || https://doi.org/10.48550/ARXIV.2602.12847 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Edge-cloud continuum driven industry 4.0 || 2025 || https://doi.org/10.1016/J.PROCS.2025.01.318 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Leveraging UE-Level Collaborative Intelligence for Scalable Jamming Detection in 5G Networks || 2025 || https://doi.org/10.1109/DCOSS-IOT65416.2025.00120 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum || 2025 || https://doi.org/10.5281/ZENODO.15472183 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Sec5GLoc: Securing 5G Indoor Localization via Adversary-Resilient Deep Learning Architecture || 2025 || https://doi.org/10.48550/ARXIV.2505.17776 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Customized EdgeCloudSim: Enhanced Mobility and Network Models for Urban Vehicular Edge Computing || 2024 || https://doi.org/10.5281/ZENODO.18631208 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Edge Intelligence for Industrial IoT: Opportunities and Limitations || 2024 || https://doi.org/10.1016/J.PROCS.2024.01.039 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | GANSec: Enhancing Supervised Wireless Anomaly Detection Robustness Through Tailored Conditional GAN Augmentation || 2025 || https://doi.org/10.1007/978-3-032-07884-1_22 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Cross-Domain DRL Agents for Efficient Job Placement in the Cloud-Edge Continuum || 2025 || https://doi.org/10.1145/3721146.3721934 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Benefits of Agent-Oriented Transitioning from Monolithic To Service-Based Architectures || 2024 || https://doi.org/10.1109/INISTA62901.2024.10683829 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | A Robust Fingerprinting Mechanism Based on Amplifier Non Linearities || 2025 || https://doi.org/10.1109/EUCNC/6GSUMMIT63408.2025.11037077 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations || 2025 || https://doi.org/10.1145/3721145.3725774 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Using Machine Learning to Take Stay-or-Go Decisions in Data-driven Drone Missions || 2025 || https://doi.org/10.48550/ARXIV.2512.04773 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Managing Far-Edge Devices using Kubernetes || 2024 || https://doi.org/10.5281/ZENODO.18494693 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | NAMP: A Network-Aware Model Partitioning Framework for Constrained Devices || 2025 || https://doi.org/10.1145/3722567.3727844 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Split Learning Based GAN Training for Non-IID Federated Learning || 2025 || https://doi.org/10.1007/978-3-032-13744-9_5 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Optimizing 5G Networks for Low-Latency Communication: A Reinforcement Learning-Based Approach || 2025 || https://doi.org/10.1016/J.PROCS.2025.01.240 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Edge AI in the computing continuum: Consistency and Availability at Early Design Stages || 2025 || https://doi.org/10.1109/IPDPSW66978.2025.00175 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Programmable Fabrics with Optical Switches in AI Supercomputers || 2025 || https://doi.org/10.5281/ZENODO.18657744 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Identifying and Exploiting a Denial-Of-Service Vulnerability in the NGAP Protocol in 5G Networks || 2025 || https://doi.org/10.1109/EUCNC/6GSUMMIT63408.2025.11036893 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Decentralized IoT-Edge Computing: An LSTM-Based Federated Learning Framework for Personalized Task Failure Prediction || 2025 || https://doi.org/10.5281/ZENODO.18631476 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Cooper: A Lightweight Event Recording and Visualization Framework for Data Center Simulations || 2025 || https://doi.org/10.1007/978-3-032-13744-9_2 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | FedHeur: Multi-Heuristic Client Selection for Task Offloading in Federated Learning || 2025 || https://doi.org/10.5281/ZENODO.18631551 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | A Generative AI-Driven Architecture for Intelligent Transportation Systems || 2024 || https://doi.org/10.1109/WF-IOT62078.2024.10811280 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | SHIELD: Scalable and Holistic Evaluation Framework for ML-Based 5G Jamming Detection || 2025 || https://doi.org/10.1007/978-3-032-00624-0_12 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | TinyKubeML: Orchestrating TinyML Models on Far-Edge Clusters || 2025 || https://doi.org/10.5281/ZENODO.18494389 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Simulators for system dataset generation in the Edge-to-Cloud Continuum || 2023 || https://doi.org/10.1109/DCOSS-IOT61029.2024.00091 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Enabling Cloud-native IoT device management || 2024 || https://doi.org/10.1145/3642975.3678967 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | IoTNetEMU - A Framework to Emulate and Test IoT Applications || 2023 || https://doi.org/10.1145/3616391.3622774 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Flexible Computation Offloading at the Edge for Autonomous Drones with Uncertain Flight Times || 2023 || https://doi.org/10.1109/dcoss-iot58021.2023.00043 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation || 2023 || https://doi.org/10.48550/arxiv.2306.09646 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Towards an Edge Intelligence-based Traffic Monitoring System || 2023 || https://doi.org/10.1109/SMC53992.2023.10393907 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Per Priority Data Rate Measurement in Data Plane || 2023 || https://doi.org/10.1145/3630047.3630199 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Lightweight Machine Learning for Edge Learning in Kubernetes Clusters || 2024 || https://doi.org/10.1109/UCC63386.2024.00021 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Federated Learning in Multi Clouds and resources constraint devices at the Edge || 2024 || https://doi.org/10.1109/IISA62523.2024.10786719 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Maximizing the Application Utility in the Computing Continuum by Feasible Site Selection || 2024 || https://doi.org/10.1109/UCC63386.2024.00027 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Evaluation of Cloud Continuum Computing Resources: A Mathematical Programming approach || 2024 || https://doi.org/10.1109/IISA.2024.10786686 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | A multi-context Severity-based SLO Violation Detector || 2024 || https://doi.org/10.1109/ISCC.2024.10733630 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Modelling Adaptive Autonomic Cloud Application Utility Using Template Functions || 2023 || https://doi.org/10.1109/ACSOS-C58168.2023.00053 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | NebulOus: A Meta-Operating System with Cloud Continuum Brokerage Capabilities || 2022 || https://doi.org/10.1109/FMEC59375.2023.10306090 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Introducing Monitoring and extended Elasticity support in TOSCA || 2023 || https://doi.org/10.1145/3603166 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Challenger: Blockchain-based Massively Multiplayer Online Game Architecture || 2024 || https://doi.org/10.1007/978-3-031-67321-4_3 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | IoT Sensor Application for Transformer Health Monitoring, Real-time Alarms, and Grid Modernization: A Case Study for Electrical Grids || 2025 || https://doi.org/10.1109/POWERTECH59965.2025.11180596 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | SARIMA-Based Forecasting for Camera-Driven Smart Parking Systems || 2025 || https://doi.org/10.1109/EEEIC/ICPSEUROPE64998.2025.11169165 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | NExt generation Meta Operating systems (Nemo) and Data Space: envisioning the future || 2025 || https://doi.org/10.1145/3685651.3686661 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Brief Announcement: A Self-* and Persistent Hub Sampling Service || 2024 || https://doi.org/10.1007/978-3-031-74498-3_33 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Data Poisoning Attacks in Gossip Learning || 2024 || https://doi.org/10.1007/978-3-031-57853-3_18 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Open Source approach in two metaOS projects || 2025 || https://doi.org/10.1145/3721889.3721930 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | GPU Acceleration in Unikernels Using Cricket GPU Virtualization || 2023 || https://doi.org/10.1145/3624062.3624236 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Predictive Modeling and Analysis of Energy Consumption in Ev Charging Stations Using Machine Learning Techniques || 2025 || https://doi.org/10.1109/EEEIC/ICPSEUROPE64998.2025.11169195 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Open Source in NExt Generation Meta Operating Systems (Nemo) || 2024 || https://doi.org/10.23919/SPLITECH61897.2024.10612369 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | From Browser to Kernel: Exploring a Lightweight Sandboxed Approach for Unikernel Extensions || 2025 || https://doi.org/10.1145/3764860.3768334 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | On the Challenge of Sound Code for Operating Systems || 2023 || https://doi.org/10.1145/3623759.3624554 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Nemo: Building the Next Generation Meta Operating System || 2023 || https://doi.org/10.1145/3624486 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Putting Intelligence into Things: An Overview of Current Architectures || 2023 || https://doi.org/10.1007/978-3-031-34171-7_8 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | ROS-based Robotic Applications Orchestration in the Compute Continuum: Challenges and Approaches || || https://doi.org/10.1145/3603166.3632555 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Online Learning Techniques for Occupancy Detection on Resource Constrained Devices || || https://doi.org/10.5281/ZENODO.15267124 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | B5G/6G Cyber Security Testbed || || https://doi.org/10.5281/ZENODO.17393071 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Virtual On-board Unit Migration in a Multi-access Smart-Campus 5G Architecture. || || https://doi.org/10.5281/ZENODO.10625002 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | The Nephele Meta-Orchestration Approach for Distributed Applications in the Computing Continuum || || https://doi.org/10.5281/ZENODO.17223325 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | IoRT ROS 2 Applications: Evaluating Zenoh and VPN for Robotic Networking in the Edge-Cloud Continuum || || https://doi.org/10.5281/ZENODO.15297492 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Multi-Partner Project: Orchestrating Deployment and Real-Time Monitoring - Nephele Multi-Cloud Ecosystem || 2025 || https://doi.org/10.23919/DATE64628.2025.10993012 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A. Securing Authentication and Authorization in Computing Continuum || 2024 || https://doi.org/10.5281/ZENODO.15275068 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Multi-Robot Exploration via Flocking Coordination and Machine Learning-Driven Connectivity Assessment || 2025 || https://doi.org/10.5281/ZENODO.16941232 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Demo: Virtualized Wireless Sensor Networks for Distributed Applications over the Cloud Continuum || 2024 || https://doi.org/10.5281/ZENODO.16940495 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A Fuzzy Based Approach for Managing Smart Edge-Enhanced IoT Devices in Mission-Critical Applications || 2025 || https://doi.org/10.5281/ZENODO.16940448 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Joint Placement and Scheduling for Time-Sensitive Applications in Edge Computing || 2025 || https://doi.org/10.5281/ZENODO.15813486 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A Platform for Time-Sensitive Networking in Converged IoT-Cloud Environments || 2024 || https://doi.org/10.5281/ZENODO.10991844 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Dynamic Management of Wireless Sensor Networks using Virtual Objects and a Rule Engine || 2025 || https://doi.org/10.5281/ZENODO.16940420 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Dynamic Schedule Computation for Time-Aware Shaper in Converged IoT-Cloud Environments || 2024 || https://doi.org/10.5281/ZENODO.10991840 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Distributed multi-robot exploration approach with connectivity maintenance || 2025 || https://doi.org/10.5281/ZENODO.16941308 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Palindrome. js: 3D monitoring for distributed systems visual analysis || 2024 || https://doi.org/10.5281/ZENODO.17053326 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Efficient, Reliable and Secure Framework for the 5G Virtualization of the UltraSound Medical System || 2024 || https://doi.org/10.5281/ZENODO.17105099 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Virtual Objects for Robots and Sensor Nodes in Distributed Applications over the Cloud Continuum || 2024 || https://doi.org/10.5281/ZENODO.12581565 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Nephele - Remote Healthcare Services, Ultrasound Medical Device Dematerialization || 2025 || https://doi.org/10.5281/ZENODO.16902436 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Data Management and Exchange between a Meta-Orchestration Platform and Data Spaces || 2025 || https://doi.org/10.1145/3685651.3686698 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Overlay_dx - Automating forecasting evaluation || 2025 || https://doi.org/10.5281/ZENODO.17053604 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Open Source approach in two metaOS projects || 2025 || https://doi.org/10.1145/3721889.3721930 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | TinyReptile: TinyML with Federated Meta-Learning || 2023 || https://doi.org/10.1109/IJCNN54540.2023.10191845 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | IRIS: Interference and Resource Aware Predictive Orchestration for ML Inference Serving || 2023 || https://doi.org/10.5281/zenodo.8135715 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | On the Implications of Heterogeneous Memory Tiering on Spark In-Memory Analytics || 2023 || https://doi.org/10.5281/zenodo.10683722 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A Multi-Tenant System for 5/6G Testbed as-a-Service || 2023 || https://doi.org/10.5281/zenodo.10654015 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Intent-Driven Distributed Applications Management Over Compute and Network Resources in the Computing Continuum || 2023 || https://doi.org/10.5281/zenodo.10620928. || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Towards the Integration of TAPRIO-based Scheduling with Centralized TSN Control || 2023 || https://doi.org/10.5281/zenodo.10077655 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A Lightweight Software Stack for IoT Interoperability within the Computing Continuum || 2023 || https://doi.org/10.5281/zenodo.10620911 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | A Virtual Object Stack for IoT-Enabled Applications Across the Compute Continuum || 2023 || https://doi.org/10.5281/zenodo.10363417 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | TinyMetaFed: Efficient Federated Meta-Learning for TinyML || 2023 || https://doi.org/10.48550/ARXIV.2307.06822 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Solving the Product Breakdown Structure Problem with constrained QAOA || 2024 || https://doi.org/10.48550/ARXIV.2406.15228 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | OASEES: An Innovative Scope for a DAO-Based Programmable Swarm Solution, for Decentralizing AI Applications Close to Data Generation Locations || || https://doi.org/10.1007/978-3-031-34171-7_7 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Quantum Backtracking in Qrisp Applied to Sudoku Problems || 2024 || https://doi.org/10.48550/arXiv.2402.10060 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | A Bring Your Own Device security awareness survey among professionals || 2023 || https://doi.org/10.1145/3600160.3605072 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | 5G High Mast Inspection based on a Decentralized Autonomous Organization in the Framework of the OASEES Project || 2023 || https://doi.org/10.1007/978-3-031-49413-0_61 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Integration of Drone Connectivity in 5G: An Examination of the OASEES Framework || 2024 || https://doi.org/10.1109/FNWF58287.2023.10520379 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Applying Hybrid Quantum Lstm For Indoor Localization Based On Rssi || 2024 || https://doi.org/10.1109/ICASSP48485.2024.10447032 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Emergency communications leveraging decentralized swarm computing || 2023 || https://doi.org/10.1145/3576914.3588019 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | Exploring the ARM Coherent Mesh Network Topology || || https://doi.org/10.1007/978-3-031-66146-4_15 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | A GPU-Accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow || 2023 || https://doi.org/10.1007/978-3-031-40843-4_15 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations || 2023 || https://doi.org/10.48550/arxiv.2401.16971 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | Accelerating drug discovery in autodock-gpu with tensor cores || 2023 || https://doi.org/10.1007/978-3-031-39698-4_41 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems || 2023 || https://doi.org/10.1007/978-3-031-48803-0_29 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | Kub: Enabling Elastic HPC Workloads on Containerized Environments || 2023 || https://doi.org/10.1109/SBAC-PAD59825.2023.00031 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems || 2023 || https://doi.org/10.1145/3581784.3607108 || Horizon Europe
| |
| |-
| |
| ! [[OpenCUBE]]
| |
| | Survey of adaptive containerization architectures for HPC || 2023 || https://doi.org/10.1145/3624062.3624588 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Channel-Dependent Forward Error Correction for IEEE 802.15.4 O-QPSK || 2024 || https://doi.org/10.1109/SMARTIOT62235.2024.00041 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Porting A Real-Time Operating System for Embedded IoT Devices to Linux as Part of the OpenSwarm Project || 2025 || https://doi.org/10.1145/3721889.3721922 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | CapBot: Enabling Battery-Free Swarm Robotics || 2025 || https://doi.org/10.1109/ICRA55743.2025.11127301 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Reducing the stability gap for continual learning at the edge with class balancing || 2025 || https://doi.org/10.14428/ESANN/2025.ES2025-139 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | When to Attest? Intra- and Post-Handshake Attestation for IoT Swarms || 2025 || https://doi.org/10.1109/CSCN67557.2025.11230717 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | UpGate: Low-Power and Secure Over-the-Air Hardware Reconfiguration for Deployed FPGAs || 2025 || https://doi.org/10.1109/ICIN64016.2025.10942953 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Low-power Energy Management Module for Ambiently Powered Robotic Swarms || 2025 || https://doi.org/10.1109/HONET63146.2024.10822934 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints || 2025 || https://doi.org/10.48550/ARXIV.2504.08585 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Running SmartMesh on the MAX32655 with MicroPython || 2024 || https://doi.org/10.1109/IECON55916.2024.10906035 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | ELA: Secure, Lightweight, and Zero-Touch Enrollment for IoT Devices || 2025 || https://doi.org/10.1109/DCOSS-IOT65416.2025.00036 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | ENOCH: ENabling On-body network Contention Handling || 2025 || https://doi.org/10.1109/PERCOM64205.2025.00031 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Low-latency Symbol-Synchronous Communication for Multi-hop Sensor Networks || 2024 || https://doi.org/10.48550/ARXIV.2405.10063 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | On the Benefits of Robot Platooning for Navigating Crowded Environments || 2025 || https://doi.org/10.1007/978-3-032-04584-3_18 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Pre-Shared Key Authentication in Ephemeral Diffie-Hellman Over COSE || 2024 || https://doi.org/10.1109/IOTSMS62296.2024.10710190 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Qrkey: Simply and Securely Controlling Swarm Robots || 2024 || https://doi.org/10.1109/INFOCOMWKSHPS61880.2024.10620910 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Performance Comparison of EDHOC and DTLS 1.3 in Internet-of-Things Environments || 2024 || https://doi.org/10.1109/wcnc57260.2024.10570830 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Single-Chip Motes and SRAM PUF: Feasibility Study || 2024 || https://doi.org/10.1109/CrystalFreeIoT62484.2024.00009 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | RobOTAP: Over-the-Air Programming of Robotic Swarms || 2024 || https://doi.org/10.1109/CrystalFreeIoT62484.2024.00012 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | TMVS: Threshold-based Majority Voting Scheme for Robust SRAM PUFs || 2024 || https://doi.org/10.1109/ISCC61673.2024.10733719 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | ABL: Leveraging Millimeter Wave Pulses for Low Latency IoT Networking || 2024 || https://doi.org/10.1109/CrystalFreeIoT62484.2024.00010 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | A Time Synchronized Multi-Hop Mesh Network with Crystal-Free Nodes || 2024 || https://doi.org/10.1109/GLOBECOM54140.2023.10437167 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | WELOC: Localizing Equipment in Marinas Using Ultrasound || 2024 || https://doi.org/10.1109/WF-IoT58464.2023.10539567 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Twofer: Ambiguous Transmissions for Low-Latency Sensor Networks Facing Noise, Privacy and Loss || 2024 || https://doi.org/10.1109/IPSN61024.2024.00022 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Blip: Identifying Boats in a Smart Marina Environment || 2023 || https://doi.org/10.1109/dcoss-iot58021.2023.00111 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | A comparative study of energy replenishment strategies for robot swarms || 2024 || https://doi.org/10.15131/shef.data.25561923.v2 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Demo FreeBot, a Battery-Free Swarm Robotics Platform || 2023 || https://doi.org/10.1145/3625687.3628401 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Poster Abstract: Hands-on Evaluation of Kinéis Satellite IoT Technology || 2023 || https://doi.org/10.1145/3583120.3589837 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Sharing the control of robot swarms among multiple human operators: A user study || 2023 || https://doi.org/10.1109/IROS55552.2023.10342457 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Agile AI and Firmware Management in IoT: DevOps for Low-Power Microcontroller-Based Platforms || 2024 || https://doi.org/10.23919/SPLITECH61897.2024.10612585 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | AI-fuelled Dimensioning and Optimal Resource Allocation of 5G/6G Wireless Communication Networks || 2024 || https://doi.org/10.1109/MEDITCOM61057.2024.10621426 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Sum Secrecy Rate Optimization in UAV Communications Using Quantum Actor-Critic Reinforcement Learning || || https://doi.org/10.5281/ZENODO.18611826 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Impact of Face Detection Algorithms on UAV-Based Real-Time Face Recognition Systems || || https://doi.org/10.5281/ZENODO.18619969 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Beyond Container CVE Analysis: A GitOps-Based Attestation and Sandbox Framework for Container Supply Chains || 2026 || https://doi.org/10.1109/SEEDA-CECNSM68644.2025.11329724 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Network slicing and edge-driven UAV surveillance in 5G private networks for industrial digital transformation in the aerospace sector || 2026 || https://doi.org/10.5281/ZENODO.18620817 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Intent-Based 5G Core Deployment Using Generative AI || 2025 || https://doi.org/10.1109/ICNC64010.2025.10993654 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | A Scalable Swarm Intelligence Algorithm for Autonomous UAV Search and Rescue Operations || 2026 || https://doi.org/10.1109/SRDS69199.2025.00056 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Advancing Off-Road Operations: Comparative Assessment of Object Detection Methodologies || 2024 || https://doi.org/10.1109/CSNDSP60683.2024.10636691 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | UniNetProbe: A Comprehensive 5G Research Testbed Framework || 2025 || https://doi.org/10.1109/CAMAD62243.2024.10942984 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | A Lightweight Secure Aggregation Protocol for Federated Learning Applications || 2025 || https://doi.org/10.1109/ICDCS63083.2025.00012 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Cross-Language Interoperability of Heterogeneous Code || 2025 || https://doi.org/10.1145/3594671.3594675 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Intent-Based 5G Core Deployment Using Generative AI || 2025 || https://doi.org/10.1109/ICNC64010.2025.10993654 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Impact of Sitting vs Standing Baselines on Performance Parameters of Stress Classification Models in Assembly Tasks || 2025 || https://doi.org/10.1016/J.IFACOL.2025.11.861 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Dynamic and Static Code Analysis for Java Programs on Heterogeneous Hardware || 2025 || https://doi.org/10.1145/3759426.3760984 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Short Paper: Estimating Patch Propagation Times across Blockchain Forks || 2023 || https://doi.org/10.1007/978-3-031-47751-5_16 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Scaling Up Performance of Managed Applications on NUMA Systems || 2023 || https://doi.org/10.1145/3591195.3595270 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | A Multifaceted Memory Analysis of Java Benchmarks || 2023 || https://doi.org/10.1145/3617651.3622978 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Larger-scale Nakamoto-style Blockchains Don’t Necessarily Offer Better Security || 2024 || https://doi.org/10.1109/SP54263.2024.00227 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Unified Shared Memory: Friend or Foe? || 2023 || https://doi.org/10.1145/3617651.3622984 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Beehive SPIR-V Toolkit: A Composable and Functional API for Runtime SPIR-V Code Generation || 2023 || https://doi.org/10.1145/3623507.3623555 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Empirical Comparison of Face Verification Algorithms from UAVs || 2023 || https://doi.org/10.23919/SoftCOM58365.2023.10271666 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Digital Twin for Machine-Learning-based Vehicle CO 2 Emissions Concentration Prediction in Embedded System || 2023 || https://doi.org/10.1109/AE58099.2023.10274412 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Towards Intent-based Network Management for the 6G System adopting Multimodal Generative AI || 2024 || https://doi.org/10.1109/EuCNC/6GSummit60053.2024.10597022. || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Transfer Learning-Enabled IoT System for Continuous Prediction of Vehicle CO2 Concentration || 2023 || https://doi.org/10.1109/ISC257844.2023.10293394 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | TornadoViz: Visualizing Heterogeneous Execution Patterns in Modern Managed Runtime Systems || 2025 || https://doi.org/10.1145/3759426.3760978 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Federated Learning for Workload Forecasting for Network Service Management || 2025 || https://doi.org/10.1109/MOCAST65744.2025.11083940 || Horizon Europe
| |
| |-
| |
| ! [[Riser]]
| |
| | Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V || || https://doi.org/10.1145/3624062.3624231 || Horizon Europe
| |
| |-
| |
| ! [[SmartEdge]]
| |
| | Building a P2P RDF Store for Edge Devices || 2023 || https://doi.org/10.48550/arxiv.2309.09364 || Horizon Europe
| |
| |-
| |
| ! [[SmartEdge]]
| |
| | Semantic Programming for Device-Edge-Cloud Continuum || 2023 || https://doi.org/10.48550/arxiv.2308.10555 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Decentralized Multi-Agent Reinforcement Learning for the Green Serverless Cloud-Edge Continuum || 2025 || https://doi.org/10.1109/SOSE67019.2025.00017 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments || 2025 || https://doi.org/10.48550/ARXIV.2506.11054 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Detecting Denial of Wallet Attacks in Serverless Computing: A Neural ODE-LTC Approach || 2025 || https://doi.org/10.1109/JCC67032.2025.00021 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | A Stable Matching Approach to Energy Efficient and Sustainable Serverless Scheduling for the Green Cloud Continuum || 2024 || https://doi.org/10.1109/SOSE62363.2024.00010 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Power Aware Cluster Orchestration: Taxonomy, Initial Results, and Challenges || 2025 || https://doi.org/10.1145/3773274.3774698 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems || 2025 || https://doi.org/10.1109/JCC67032.2025.00012 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Enhancing Machine Learning Performance in Dynamic Cloud Environments with Auto-Adaptive Models || 2025 || https://doi.org/10.1109/CLOUDCOM62794.2024.00024 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing || 2025 || https://doi.org/10.48550/ARXIV.2507.04969 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | GreenContinuum: A Formal Model of a Smart Grid-Aware Edge-Cloud Continuum for Carbon and Energy Management || 2025 || https://doi.org/10.5281/ZENODO.17980067 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Mobility‑Hub: Next Generation Traffic Light Controller integrated into the Computing Continuum with Serverless Technology and AI‑enabled Orchestration || || https://doi.org/10.1109/MSCC61058.2024.10434672 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control || 2025 || https://doi.org/10.48550/ARXIV.2508.07640 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Cooperative and Connected Mobility Services in the Cloud-Edge Continuum with Function As A Service Technology and AI-enabled Orchestration || 2024 || https://doi.org/10.1109/MSCC62288.2024.10697004 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Executing Mobile Edge Functions in the Cloud-Edge Continuum: Analyzing Threats to Location Integrity || 2025 || https://doi.org/10.1109/FICLOUD66139.2025.00010 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Formal Models for the Energy-Aware Cloud-Edge Computing Continuum: Analysis and Challenges || || https://doi.org/10.1109/SOSE58276.2023.00012 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Cliffhanger: An Experimental Evaluation of Stateful Serverless at the Edge || || https://doi.org/10.23919/WONS60642.2024.10449637 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum || || https://doi.org/10.1109/EDGE60047.2023.00015 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Securing P4-SDN Data Plane against Flow Table Modification Attack || || https://doi.org/10.1109/NOMS59830.2024.10575461 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Anomaly Detection and Resolution on the Edge: Solutions and Future Directions || || https://doi.org/10.1109/SOSE58276.2023.00034 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems || || https://doi.org/10.1007/978-3-031-39847-6_19 || Horizon Europe
| |
| |-
| |
| ! [[TaRDIS]]
| |
| | Set in stone: Analysis of an immutable web3 social media platform || 2023 || https://doi.org/10.1145/3543507.3583510 || Horizon Europe
| |
| |-
| |
| ! [[TaRDIS]]
| |
| | Fair Join Pattern Matching for Actors || 2024 || https://doi.org/10.4230/LIPIcs.ECOOP.2024.39 || Horizon Europe
| |
| |-
| |
| ! [[TaRDIS]]
| |
| | Accountable Banking Transactions || 2024 || https://doi.org/10.18420/OID2024_04 || Horizon Europe
| |
| |-
| |
| ! [[TaRDIS]]
| |
| | Lecture Notes in Computer Science || 2024 || https://doi.org/10.48550/arXiv.2404.19614 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | SimPoint-Based Microarchitectural Hotspot & Energy-Efficiency Analysis of RISC-V OoO CPUs || || https://doi.org/10.5281/ZENODO.12552305 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Enabling Syscall Intercept for RISC-V || 2025 || https://doi.org/10.48550/ARXIV.2505.10217 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Accurate Analysis of Silent Data Corruptions in Programmable AI Accelerator Microarchitectures || 2025 || https://doi.org/10.1109/IOLTS65288.2025.11117132 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Evaluating ECC for Cache Reliability Under Multi-Bit Upsets: A Design Space Exploration || 2025 || https://doi.org/10.1109/IOLTS65288.2025.11117031 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Special Session: Security and RAS in the Computing Continuum || 2024 || https://doi.org/10.1109/DFT63277.2024.10753548 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services || 2023 || https://doi.org/10.1109/DSD60849.2023.00050 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | From Gates to SDCs: Understanding Fault Propagation Through the Compute Stack || 2025 || https://doi.org/10.23919/DATE64628.2025.10992727 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Vitamin-V: Serverless Cloud Computing Porting on RISC-V || 2025 || https://doi.org/10.1007/978-3-031-78380-7_10 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | vACE: Exploring the Design Space of Vector Processing Units for Soft Error Vulnerability || 2025 || https://doi.org/10.1109/IISWC66894.2025.00023 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Open Challenges for a Production-ready Cloud Environment on top of RISC-V hardware || 2025 || https://doi.org/10.48550/ARXIV.2505.02650 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Zero-Day Hardware-Supported Malware Detection of Stack Buffer Overflow Attacks: An Application Exploiting the CV32e40p RISC-V Core || 2025 || https://doi.org/10.1109/LATS65346.2025.10963939 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | NAVIgator: Exploring the Voltage Limits of AMD NAVI GPUs for Energy Efficient Computing || 2025 || https://doi.org/10.1109/IOLTS65288.2025.11117086 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Malware Detection on Linux Using Runtime Opcode Tracing || 2024 || https://doi.org/10.1109/DFT63277.2024.10753555 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Veritas – Demystifying Silent Data Corruptions: μArch-Level Modeling and Fleet Data of Modern x86 CPUs || 2025 || https://doi.org/10.1109/HPCA61900.2025.00012 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Benchmarking Support for RISC-V CPUs in Serverless Computing || 2025 || https://doi.org/10.1109/IISWC66894.2025.00050 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Silent Data Errors: Sources, Detection, and Modeling || 2023 || https://doi.org/10.1109/VTS56346.2023.10139970 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Fast, Accurate and Distributed Simulation of novel HPC systems incorporating ARM and RISC-V CPUs || 2024 || https://doi.org/10.5281/ZENODO.12594262 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Silent Data Corruptions in Computing Systems: Early Predictions and Large-Scale Measurements || 2024 || https://doi.org/10.5281/ZENODO.12552569 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Silent Data Corruptions: The Stealthy Saboteurs of Digital Integrity || 2023 || https://doi.org/10.1109/IOLTS59296.2023.10224870 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Harpocrates: Breaking the Silence of CPU Faults through Hardware-in-the-Loop Program Generation || 2024 || https://doi.org/10.5281/ZENODO.12553098 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Hypervisor Extension for a RISC-V Processor || 2023 || https://doi.org/10.48550/ARXIV.2406.17796 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Hardware-based stack buffer overflow attack detection on RISC-V architectures || 2024 || https://doi.org/10.48550/arXiv.2406.10282 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Vitamin-V: Expanding Open-Source RISC-V Cloud Environments || 2024 || https://doi.org/10.48550/ARXIV.2407.00052 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the VITAMIN-V Horizon Europe Project perspective || 2023 || https://doi.org/10.1109/ets56758.2023.10174216 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | VITAMIN-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services || 2023 || https://doi.org/10.48550/ARXIV.2305.10982 || Horizon Europe
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits || 2023 || https://doi.org/10.48550/arxiv.2302.01888 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | A Sorted Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic || 2022 || https://doi.org/10.1007/978-3-030-99524-9_27 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Perun: Confidential Multi-stakeholder Machine Learning Framework with Hardware Acceleration Support || 2021 || https://doi.org/10.1007/978-3-030-81242-3_11 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Formal Foundations for Intel SGX Data Center Attestation Primitives || 2021 || https://doi.org/10.13140/rg.2.2.36760.21768 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | SinClave: Hardware-assisted Singletons for TEEs || 2023 || https://doi.org/10.1145/3590140.3629107 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | On the Acceleration of FaaS Using Remote GPU Virtualization || 2023 || https://doi.org/10.1145/3578245.3584933 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications || 2023 || https://doi.org/10.1145/3578245.3584941 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Challenges Towards Modeling and Generating Infrastructure-as-Code || 2023 || https://doi.org/10.1145/3578245.3584937 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Heterogeneous Datasets for Federated Survival Analysis Simulation || 2023 || https://doi.org/10.1145/3578245.3584935 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | A Last-Level Defense for Application Integrity and Confidentiality || 2023 || https://doi.org/10.48550/arxiv.2311.06154 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Trustworthy confidential virtual machines for the masses || 2023 || https://doi.org/10.1145/3590140.3629124 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning || 2022 || https://doi.org/10.1145/3573942.3573974 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Securing the Execution of ML Workflows across the Compute Continua || 2023 || https://doi.org/10.1145/3578245 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Federated Survival Forests || 2023 || https://doi.org/10.48550/arxiv.2302.02807 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | ADAM-CS - Advanced Asynchronous Monotonic Counter Service || 2021 || https://doi.org/10.1109/dsn48987.2021.00053 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Secure execution of ML workflows on the Computing Continuum || 2023 || https://doi.org/10.1145/3578245.3584727 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | A Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic || 2021 || https://doi.org/10.1007/978-3-030-86205-3 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques || 2023 || https://doi.org/10.48550/arxiv.2305.10118 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Formal Foundations for SCONE Attestation || 2022 || https://doi.org/10.1109/dsn-s54099.2022.00020 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks || 2023 || https://doi.org/10.48550/arxiv.2306.03054 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | CHORS: hardening high-assurance security systems with trusted computing || 2022 || https://doi.org/10.1145/3477314.3506961 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits || 2023 || https://doi.org/10.1016/j.procs.2023.08.190 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | EdgeCloud Mon: A lightweight monitoring stack for K3s clusters || 2024 || https://doi.org/10.1016/j.softx.2024.101675 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Global Mobile Network Aggregators: Taxonomy, Roaming Performance and Optimization || 2022 || https://doi.org/10.1145/3498361.3538942 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing || 2023 || https://doi.org/10.1145/3589010.3594888 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Real-time Monitoring and Analysis of Edge and Cloud Resources || 2023 || https://doi.org/10.1145/3589010.3594892 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | A Browser-side View of Starlink Connectivity || 2022 || https://doi.org/10.1145/3517745.3561457 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic || 2022 || https://doi.org/10.1145/3564625.3564642 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures || 2022 || https://doi.org/10.1145/3526059.3533623 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Towards a Distributed Storage Framework for Edge Computing Infrastructures || 2022 || https://doi.org/10.1145/3526059.3533617 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction || 2021 || https://doi.org/10.1109/bigdataservice52369.2021.00010 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp || 2022 || https://doi.org/10.1145/3485447.3512130 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Cloud for Holography and Augmented Reality || 2021 || https://doi.org/10.1109/cloudnet53349.2021.9657125 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Exploring content moderation in the decentralised web: the pleroma case || 2021 || https://doi.org/10.1145/3485983.3494838 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Diversity-guided Search Exploration for Self-driving Cars Test Generation through Frenet Space Encoding || 2024 || https://doi.org/10.48550/arxiv.2401.14682 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Towards Log Slicing || 2023 || https://doi.org/10.1007/978-3-031-30826-0_14 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Cost-effective Simulation-based Test Selection in Self-driving Cars Software with SDC-Scissor || 2022 || https://doi.org/10.1109/saner53432.2022.00030 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Summary of Search-based Crash Reproduction using Behavioral Model Seeding || 2021 || https://doi.org/10.1109/icst49551.2021.00039 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights || 2022 || https://doi.org/10.1109/icst57152.2023.00034 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Basic block coverage for unit test generation at the SBST 2022 tool competition || 2022 || https://doi.org/10.1145/3526072.3527528 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | SBST Tool Competition 2021 || 2021 || https://doi.org/10.1109/sbst52555.2021.00011 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | NLBSE'22 tool competition || 2022 || https://doi.org/10.1145/3528588.3528664 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | TEASER: Simulation-Based CAN Bus Regression Testing for Self-Driving Cars Software || 2023 || https://doi.org/10.1109/ase56229.2023.00154 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | An Empirical Investigation of Relevant Changes and Automation Needs in Modern Code Review || 2021 || https://doi.org/10.1007/s10664-020-09870-3 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | SBFT Tool Competition 2024 - Python Test Case Generation Track || 2024 || https://doi.org/10.5281/zenodo.10554259 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study || 2021 || https://doi.org/10.1109/icsme52107.2021.00048 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Hybrid Multi-level Crossover for Unit Test Case Generation || 2021 || https://doi.org/10.48550/arxiv.2108.05466 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Toward Automatically Completing GitHub Workflows || 2024 || https://doi.org/10.1145/3597503.3623351 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Predicting issue types on GitHub || 2021 || https://doi.org/10.48550/arxiv.2107.09936 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum || 2022 || https://doi.org/10.1109/cluster51413.2022.00021 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | SimLess: Simulate Serverless Workflows and Their Twins and Siblings in Federated FaaS || 2022 || https://doi.org/10.1145/3542929.3563478 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics || 2023 || https://doi.org/10.48550/arxiv.2305.02966 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Comparison of Microservice Call Rate Predictions for Replication in the Cloud || 2023 || https://doi.org/10.1145/3603166.3632566 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Towards Graph-based Cloud Cost Modelling and Optimisation || 2023 || https://doi.org/10.1109/compsac57700.2023.00203 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances || 2023 || https://doi.org/10.1145/3593908.3593943 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | A Human-in-the-Loop Approach to Support the Segments Compliance Analysis || 2022 || https://doi.org/10.1007/978-3-031-16168-1_13 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER || 2023 || https://doi.org/10.1109/compsac57700.2023.00038 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Aligning Data-Aware Declarative Process Models and Event Logs || 2021 || https://doi.org/10.1007/978-3-030-85469-0_16 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum || 2022 || https://doi.org/10.1109/nca57778.2022.10013519 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming || 2023 || https://doi.org/10.1007/978-3-031-43458-7_38 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Machine Learning Based Resource Utilization Prediction in the Computing Continuum || 2023 || https://doi.org/10.5281/zenodo.10203854 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics || 2022 || https://doi.org/10.1145/3511808.3557195 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Addressing the Scalability Bottleneck of Semantic Technologies at Bosch || 2023 || https://doi.org/10.1007/978-3-031-43458-7_33 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | An SQL-Based Declarative Process Mining Framework for Analyzing Process Data Stored in Relational Databases || 2023 || https://doi.org/10.1007/978-3-031-41623-1_13 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | CNN-assisted Road Sign Inspection on the Computing Continuum || 2022 || https://doi.org/10.1109/ucc56403.2022.00038 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Proactive SLA-aware Application Placement in the Computing Continuum || 2023 || https://doi.org/10.1109/ipdps54959.2023.00054 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case || 2023 || https://doi.org/10.48550/arxiv.2308.01094 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs. || 2021 || https://doi.org/10.1007/978-3-030-79108-7_16 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Preemptive online scheduling in the Computing Continuum || 2022 || https://doi.org/10.1109/ucc56403.2022.00057 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Discovering Declarative Process Model Behavior from Event Logs via Model Learning || 2021 || https://doi.org/10.1109/icpm53251.2021.9576870 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Towards A Visualisation Ontology for Reusable Visual Analytics || 2022 || https://doi.org/10.1145/3579051.3579074 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Towards Cloud Storage Tier Optimization with Rule-based Classification || 2023 || https://doi.org/10.1007/978-3-031-46235-1_13 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery || 2023 || https://doi.org/10.1007/978-3-031-41623-1_3 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Scheduling of Distributed Applications on the Computing Continuum: A Survey || 2023 || https://doi.org/10.1145/3603166.3632540 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Towards Environment-Dependent Model Switching for Performance and Accuracy Conscious Object Detection in Day- and Nighttime Urban Traffic Environments || 2023 || https://doi.org/10.1109/compsac57700.2023.00016 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Interactive Segmentation of User Interface Logs || 2021 || https://doi.org/10.1007/978-3-030-91431-8_5 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Software Architectures for AI Systems: State of Practice and Challenges || 2023 || https://doi.org/10.1007/978-3-031-36847-9_2 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring || 2022 || https://doi.org/10.1007/978-3-031-19433-7_45 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch || 2022 || https://doi.org/10.1145/3511808.3557512 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case || 2023 || https://doi.org/10.48550/arxiv.2308.01105 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data || 2022 || https://doi.org/10.1109/compsac54236.2022.00182 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Big Data Pipeline Scheduling and Adaptation on the Computing Continuum || 2022 || https://doi.org/10.1109/compsac54236.2022.00181 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Let the Asset Decide: Digital Twins with Knowledge Graphs || 2022 || https://doi.org/10.1109/icsa-c54293.2022.00014 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | A Data-Centric Approach to Design Resilient-Aware Process Models in BPMN || 2022 || https://doi.org/10.1007/978-3-031-16171-1_3 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Tracking Data Visual Representations for Sports Broadcasting Enrichment || 2022 || https://doi.org/10.5220/0011551900003321 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | An Interactive Approach to Support Event Log Generation for Data Pipeline Discovery || 2022 || https://doi.org/10.1109/compsac54236.2022.00184 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | The Data Value Quest: A Holistic Semantic Approach at Bosch || 2022 || https://doi.org/10.1007/978-3-031-11609-4_42 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Context-Aware Trace Alignment with Automated Planning || 2022 || https://doi.org/10.1109/icpm57379.2022.9980649 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines || 2022 || https://doi.org/10.1109/compsac54236.2022.00183 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | YOLOv4-object: an Efficient Model and Method for Object Discovery || 2021 || https://doi.org/10.1109/compsac51774.2021.00016 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview || 2021 || https://doi.org/10.1109/iscc53001.2021.9631410 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Big Data Pipeline Discovery through Process Mining: Challenges and Research Directions || 2021 || https://doi.org/10.5281/zenodo.5817117 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Exploring the Challenge of Automated Segmentation in Robotic Process Automation || 2021 || https://doi.org/10.1007/978-3-030-75018-3_3 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | DataCloud: Enabling the Big Data Pipelines on the Computing Continuum || 2021 || https://doi.org/10.1007/978-3-030-75018-3 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum || 2021 || https://doi.org/10.1109/CCGrid51090.2021.00061 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Multilayer Resource-aware Partitioning for Fog Application Placement || 2021 || https://doi.org/10.1109/ICFEC51620.2021.00010 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Locality-Aware Workflow Orchestration for Big Data || 2021 || https://doi.org/10.1145/3444757.3485106 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | SDR-NNP: Sharpened Dimensionality Reduction with Neural Networks || 2022 || https://doi.org/10.5220/0010820900003124 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Modeling and analysis of butterfly loops via Preisach operators and its application in a piezoelectric material || 2019 || https://doi.org/10.1109/cdc.2018.8618659 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm || 2020 || https://doi.org/10.1007/978-981-15-4828-4_20 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Power Curtailment in Cloud Environment Utilising Load Balancing Machine Allocation || 2018 || https://doi.org/10.1109/smartworld.2018.00237 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Handling unforeseen failures using argumentation-based learning || 2019 || https://doi.org/10.1109/coase.2019.8843207 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | A Fast, Memory-Efficient Alpha-Tree Algorithm using Flooding and Tree Size Estimation || 2019 || https://doi.org/10.1007/978-3-030-20867-7_20 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | "Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation,"""" || 2021 || https://doi.org/10.1109/globecom46510.2021.9685045 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations. || 2021 || https://doi.org/10.1109/spawc51858.2021.9593252 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | "Communication-Efficient and Federated Multi-Agent Reinforcement Learning"""" || 2021 || https://doi.org/10.1109/tccn.2021.3130993 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | "Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent"""" || 2021 || https://doi.org/10.1109/globecom46510.2021.9685127 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | "Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels"""" || 2021 || https://doi.org/10.1109/pimrc50174.2021.9569707 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Age-optimal power allocation in industrial IoT: A risk-sensitive federated learning approach"""" || 2021 || https://doi.org/10.1109/pimrc50174.2021.9569536 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | V2V Cooperative Sensing using Reinforcement Learning with Action Branching || 2021 || https://doi.org/10.1109/icc42927.2021.9500832 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | "Federated Distributionally Robust Optimization for Phase Configuration of RISs,"""" || 2021 || https://doi.org/10.1109/globecom46510.2021.9685599 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks || 2021 || https://doi.org/10.5220/0010460501710179 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Enabling An Isolated And Energy-Aware Deployment of Computationally Intensive Kernels on Multi-Tenant Environments || 2023 || https://doi.org/10.1007/978-3-031-46077-7_27 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Cycle Detection and Clustering for Cyber Physical Systems || 2023 || https://doi.org/10.1007/978-3-031-28694-0_10 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Hardware-Accelerated FaaS for the Edge-Cloud Continuum || 2023 || https://doi.org/10.1109/icnp59255.2023.10355594 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Dynamic Heap Management in High-Level Synthesis for Many-Accelerator Architectures || 2022 || https://doi.org/10.1109/fpl57034.2022.00051 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | The SERRANO platform: Stepping towards seamless application development & deployment in the heterogeneous edge-cloud continuum || 2023 || https://doi.org/10.23919/date56975.2023.10137039 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | HW/SW Acceleration of Multiple Workloads Within the SERRANO’s Computing Continuum || 2022 || https://doi.org/10.1007/978-3-031-15074-6_25 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Intent-based AI-enhanced Service Orchestration for application deployment and execution in the Cloud Continuum || 2023 || https://doi.org/10.1007/978-3-031-46235-1_17 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Machine Learning Network Tomography with partial topology knowledge and dynamic routing || 2022 || https://doi.org/10.1109/globecom48099.2022.10001622 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum || 2021 || https://doi.org/10.1109/meditcom49071.2021.9647689 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Securitization of cloud, edge and IoT communications through hardware accelerations/offloadings || 2021 || https://doi.org/10.1109/meditcom49071.2021.9647500 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Leveraging HW approximation for exploiting performance-energy trade-offs within edge-cloud computing continuum || 2021 || https://doi.org/10.1007/978-3-030-90539-2_27 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | A Quality of Experience Illustrator User Interface for Cloud Provider Recommendations || 2022 || https://doi.org/10.1007/978-3-031-06417-3_42 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Secured Distributed Storage Resource Allocation on Cloud-Edge Infrastructures || 2021 || https://doi.org/10.1109/cloudnet53349.2021.9657156 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum || 2022 || https://doi.org/10.1109/compsac54236.2022.00185 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach || 2022 || https://doi.org/10.1007/978-3-031-04580-6_24 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Resource Allocation for Distributed Machine Learning at the (Edge-Cloud) Continuum || 2022 || https://doi.org/10.5281/zenodo.6861466 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | On the Challenges of Detecting Side-Channel Attacks in SGX || 2022 || https://doi.org/10.1145/3545948.3545972 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | An Intelligent Platform for Threat Assessment and Cyber-Attack Mitigation in IoMT Ecosystems || 2023 || https://doi.org/10.1109/gcwkshps56602.2022.10008548 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Dual-hop Blockchain Radio Access Networks for Advanced Coverage Expansion || 2021 || https://doi.org/10.1109/mocast52088.2021.9493339 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | A Hybrid RF-FSO Offloading Scheme for Autonomous Industrial Internet of Things || 2022 || https://doi.org/10.1109/infocomwkshps54753.2022.9798011 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Hierarchical Federated Learning for the Next Generation IoT || 2022 || https://doi.org/10.1109/wimob55322.2022.9941355 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks || 2021 || https://doi.org/10.1145/3465481.3470478 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Applying Federated Learning on Decentralized Smart Farming: A Case Study || 2023 || https://doi.org/10.1109/iccworkshops57953.2023.10283681 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Health Risk Assessment with Federated Learning || 2022 || https://doi.org/10.1109/balkancom55633.2022.9900733 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Covert Distributed Training of Deep Federated Industrial Honeypots || 2022 || https://doi.org/10.1109/gcwkshps52748.2021.9682162 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Evaluating SDN Applicability in the Edge || 2023 || https://doi.org/10.1109/iccworkshops57953.2023.10283702 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | A Cyber Resilience Framework for NG-IoT Healthcare Using Machine Learning and Blockchain || 2021 || https://doi.org/10.1109/icc42927.2021.9500496 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Throughput Assessment of Priority-based Semi-Grant-Free NOMA Protocol || 2022 || https://doi.org/10.1109/pimrc54779.2022.9977848 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Semi-Grant-Free Non-Orthogonal Multiple Access for Tactile Internet of Things || 2021 || https://doi.org/10.1109/pimrc50174.2021.9569640 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Federated Intrusion Detection In NG-IoT Healthcare Systems: An Adversarial Approach || 2021 || https://doi.org/10.1109/icc42927.2021.9500578 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments || 2023 || https://doi.org/10.1109/icc45041.2023.10279214 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Model-Agnostic Meta-Learning Techniques: A State-of-The-Art Short Review || 2023 || https://doi.org/10.1109/mocast57943.2023.10176893 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | A Decentralized Secured Data sharing Framework for IoT Networks || 2023 || https://doi.org/10.1109/wf-iot54382.2022.10152247 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Ring Signatures with User-Controlled Linkability || 2022 || https://doi.org/10.1007/978-3-031-17146-8_20 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | On the Design and Optimization of SLIPT Systems for Aerial Base Stations || 2023 || https://doi.org/10.1109/iccworkshops57953.2023.10283700 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | RINAsense: A prototype for implementing RINA networks in IoT environments || 2023 || https://doi.org/10.1109/ciot57267.2023.10084905 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Modified Bow-Tie Antenna Design Using Artificial Hummingbird Algorithm for Wireless Power Transfer IoT Applications || 2023 || https://doi.org/10.23919/eucap57121.2023.10133339 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Industrial Scale Passive Testing with T-EARS || 2021 || https://doi.org/10.1109/icst49551.2021.00047 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Message from A-MOST 2023 Workshop Chairs || 2023 || https://doi.org/10.1109/icstw58534.2023.00005 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Monitoring Approaches for Security and Safety Analysis: Application to a Load Position System || 2022 || https://doi.org/10.1109/icstw55395.2022.00021 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Security Requirements as Code: Example from VeriDevOps Project || 2021 || https://doi.org/10.1109/rew53955.2021.9714713 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | VeriDevOps Software Methodology: Security Verification and Validation for DevOps Practices || 2023 || https://doi.org/10.1145/3600160.3605054 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | PyLC: A Framework for Transforming and Validating PLC Software using Python and Pynguin Test Generator || 2023 || https://doi.org/10.1145/3555776.3577698 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Message from the ITEQS 2022 Workshop Chairs || 2022 || https://doi.org/10.1109/icstw55395.2022.00006 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Message from ITEQS 2023 Workshop Chairs || 2023 || https://doi.org/10.1109/icstw58534.2023.00011 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Preliminary Results in Using Attention for Increasing Attack Identification Efficiency || 2023 || https://doi.org/10.1109/icstw58534.2023.00038 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | A Two-phase Metamorphic Approach for Testing Industrial Control Systems || 2022 || https://doi.org/10.48550/arxiv.2208.09261 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Choosing a Test Automation Framework for Programmable Logic Controllers in CODESYS Development Environment || 2022 || https://doi.org/10.1109/icstw55395.2022.00055 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Security Testing and Resilience || 2021 || https://doi.org/10.1109/icstw52544.2021.00031 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Applying Model-based Requirements Engineering in Three Large European Collaborative Projects: An Experience Report || 2021 || https://doi.org/10.1109/re51729.2021.00040 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | A Framework for the Attack Tolerance of Cloud Applications Based on Web Services || 2020 || https://doi.org/10.3390/electronics10010006 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | VeriDevOps: Automated Protection and Prevention to Meet Security Requirements in DevOps || 2021 || https://doi.org/10.23919/date51398.2021.9474185 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Security Requirements as Code:Example from VeriDevOps Project || 2021 || https://doi.org/10.1109/rew53955.2021.00063 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Ethical AI-Powered Regression Test Selection || 2021 || https://doi.org/10.1109/aitest52744.2021.00025 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Specification of Passive Test Cases using anImproved T-EARS Language || 2021 || https://doi.org/10.1007/978-3-031-04115-0_5 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Message from the ITEQS 2021 Workshop Chairs || 2021 || https://doi.org/10.1109/icstw52544.2021.00007 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Towards a Workflow for Model-Based Testing of Embedded Systems || 2021 || https://doi.org/10.1145/3472672.3473956 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Human-based Test Design versus Automated Test Generation: A Literature Review and Meta-Analysis || 2022 || https://doi.org/10.1145/3511430.3511433 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Overhead-Aware Schedule Synthesis for Logical Execution Time (LET) in Automotive Systems || 2022 || https://doi.org/10.1109/socc56010.2022.9908103 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | XANDAR: X-by-Construction Design framework for Engineering Autonomous & Distributed Real-time Embedded Software Systems || 2021 || https://doi.org/10.1109/fpl53798.2021.00075 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Model-Based STPA: Towards Safety-Guided Design with Formalization || 2022 || https://doi.org/10.1109/isse54508.2022.10005396 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | NS3SaaS: Cloud-based “Network Simulator as a Service” with customisable resource scheduling || 2022 || https://doi.org/10.1109/cloudnet55617.2022.9978899 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Towards Automating a Software-Centered Development Process that considers Timing Properties || 2022 || https://doi.org/10.1109/socc56010.2022.9908127 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | XANDAR: V&V Approach for Safety-Critical Systems in Automotive and Avionics Use Cases || 2023 || https://doi.org/10.1109/socc58585.2023.10257177 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | A Comparative Analysis of Security Patterns for Enhanced Security in Safety-Critical Systems || 2023 || https://doi.org/10.1109/socc58585.2023.10256708 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | A Behavior Specification and Simulation Methodology for Embedded Real-Time Software || 2022 || https://doi.org/10.1109/ds-rt55542.2022.9932069 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | A Runtime Security Monitoring Architecture for Embedded Hypervisors || 2023 || https://doi.org/10.1109/socc58585.2023.10256735 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Cybersecurity Engineering: Bridging the Security Gaps in Avionic Architectures and DO-326A/ED-202A || 2023 || https://doi.org/10.1109/dasc58513.2023.10311187 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Model-Based STPA: Enabling Safety Analysis Coverage Assessment with Formalization || 2022 || https://doi.org/10.1109/dasc55683.2022.9925883 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Safety by Construction: Pattern-Based Application of Safety Mechanisms in XANDAR || 2022 || https://doi.org/10.1109/isvlsi54635.2022.00081 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Cybersecurity Engineering: Bridging the Security Gaps in Advanced Automotive Systems and ISO/SAE 21434 || 2023 || https://doi.org/10.1109/vtc2023-spring57618.2023.10200490 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Hypervisor-Based Target Deployment Strategies for Time Predictability in Model-Based Development || 2022 || https://doi.org/10.1109/socc56010.2022.9908090 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Pattern-Based Information Flow Control for Safety-Critical On-Chip Systems || 2023 || https://doi.org/10.1007/978-3-031-40923-3_14 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | An analytical model for loop tiling transformation || 2021 || https://doi.org/10.1007/978-3-031-04580-6_7 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | Bird’s-eye view on the Automotive Cybersecurity Landscape & Challenges in adopting AI/ML || 2021 || https://doi.org/10.1109/fmec54266.2021.9732568 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | XANDAR: A holistic Cybersecurity Engineering Process for Safety-critical and Cyber-physical Systems || 2022 || https://doi.org/10.1109/vtc2022-spring54318.2022.9860859 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | XANDAR: Exploiting the X-by-Construction Paradigm in Model-based Development of Safety-critical Systems || 2022 || https://doi.org/10.23919/date54114.2022.9774534 || Horizon 2020
| |
| |}
| |
|
| |
|
| ===Monographic books===
| | # Cloud, Edge, and Continuum Computing |
| {| class="wikitable sortable"
| | # Hardware Architecture and High-Performance Computing (HPC) |
| ! Project !! Title !! Year !! DOI !! Programme
| | # Cybersecurity, Privacy, and Trust |
| |-
| | # Artificial Intelligence and Machine Learning Systems |
| ! [[VeriDevOps]]
| | # Networking, 5G/6G, and Communications |
| | CyberSecurity in a DevOps Environment From Requirements to Monitoring || 2023 || https://doi.org/10.1007/978-3-031-42212-6 || Horizon 2020
| | # Software Engineering, Testing, and DevOps |
| |}
| | # IoT, Robotics, and Autonomous Swarms |
| | | # Data Science, Analytics, and Data Processing |
| ===Peer-reviewed articles===
| | {{#ask: |
| {| class="wikitable sortable"
| | [[Category:Publications]] |
| ! Project !! Title !! Year !! DOI !! Programme
| | | ?EU Project |
| |-
| | | ?Has Category |
| ! [[ACES]]
| | | ?Has Title |
| | ProKube: Proactive Kubernetes Orchestrator for Inference in Heterogeneous Edge Computing || 2024 || https://doi.org/10.1002/nem.2298 || Horizon Europe
| | | ?Has Type |
| |-
| | | ?Has Year |
| ! [[ACES]]
| | | ?Has DOI |
| | ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments || 2023 || https://doi.org/10.1109/TSUSC.2023.3348157 || Horizon Europe
| | | format=datatables |
| |-
| | | limit=1000 |
| ! [[ACES]]
| | | mainlabel=- |
| | MASTER: Machine Learning-Based Cold Start Latency Prediction Framework in Serverless Edge Computing Environments for Industry 4.0 || 2024 || https://doi.org/10.1109/JSAS.2024.3396440 || Horizon Europe
| | | searchable=yes |
| |-
| | | column filters=select |
| ! [[ACES]]
| | | noajax=yes |
| | EdgeBus: Co-Simulation based resource management for heterogeneous mobile edge computing environments || 2024 || https://doi.org/10.1016/j.iot.2024.101368 || Horizon Europe
| | }} |
| |-
| |
| ! [[ACES]]
| |
| | AI-based fog and edge computing: A systematic review, taxonomy and future directions || 2023 || https://doi.org/10.1016/j.iot.2022.100674 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Joint Service Migration and Resource Allocation in Edge IoT System Based on Deep Reinforcement Learning || || https://doi.org/10.1109/JIOT.2023.3332421 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Toward Efficient Fire Detection in IoT Environment: A Modified Attention Network and Large-Scale Data Set || || https://doi.org/10.1109/JIOT.2023.3336931 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Joint Content Update and Transmission Resource Allocation for Energy-Efficient Edge Caching of High Definition Map || || https://doi.org/10.1109/TVT.2023.3336824 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Exploring Collaborative Diffusion Model Inferring for AIGC-enabled Edge Services || 2024 || https://doi.org/10.1109/TCCN.2024.3519320 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | CANDIL: A federated data fabric for network analytics || 2025 || https://doi.org/10.1016/J.FUTURE.2024.04.013 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Dependency-Aware Microservice Deployment for Edge Computing: A Deep Reinforcement Learning Approach with Network Representation || 2024 || https://doi.org/10.1109/TMC.2024.3453069 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6 G Mobile Networks || 2024 || https://doi.org/10.1109/TMC.2024.3404125 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | BWKA: A Blockchain-Based Wide-Area Knowledge Acquisition Ecosystem || 2024 || https://doi.org/10.1109/TDSC.2024.3382031 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A survey on computational intelligence approaches for intelligent marine terminal operations || 2024 || https://doi.org/10.1049/itr2.12469 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Semantic-Enhanced Digital Twin System for Robot–Environment Interaction Monitoring || 2022 || https://doi.org/10.1109/TIM.2021.3066542 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning || 2024 || https://doi.org/10.1109/TNSE.2024.3375374 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | AI/ML for beyond 5G systems: Concepts, technology enablers & solutions || 2023 || https://doi.org/10.1016/j.comnet.2023.110044 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Dynamic Knowledge Management in an Agent-Based Extended Green Cloud Simulator || 2024 || https://doi.org/10.3390/en17040780 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Deterministic Networking Empowered Robotic Teleoperation || 2024 || https://doi.org/10.1109/MNET.2024.3483930 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Novel Combinatorial Multi-Armed Bandit Game to Identify Online the Changing top-K Flows in Software-Defined Networks || 2023 || https://doi.org/10.1016/j.comnet.2023.109783 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | IDADET: Iterative Double-sided Auction-based Data-Energy Transaction Ecosystem in Internet of Vehicles || 2023 || https://doi.org/10.1109/JIOT.2023.3236968 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | A Survey on In-network Computing: Programmable Data Plane And Technology Specific Applications || 2022 || https://doi.org/10.1109/COMST.2022.3213237 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Probabilistic-Assured Resource Provisioning with Customizable Hybrid Isolation for Vertical Industrial Slicing || 2018 || https://doi.org/10.1109/TNSM.2022.3219865 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions || 2023 || https://doi.org/10.3390/s23042215 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Berth Allocation Considering Multiple Quays: A Practical Approach Using Cuckoo Search Optimization || 2023 || https://doi.org/10.3390/jmse11071280 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Heterogeneous Edge Caching based on Actor-Critic Learning with Attention Mechanism Aiding || 2020 || https://doi.org/10.1109/TNSE.2023.3260882 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | Self-* capabilities of heterogeneous nodes in the computing continuum; a research review || 2023 || https://doi.org/10.3390/S23062931 || Horizon Europe
| |
| |-
| |
| ! [[aerOS]]
| |
| | AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks || 2023 || https://doi.org/10.1109/MNET.129.2200417 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | MLLess: Achieving cost efficiency in serverless machine learning training || || https://doi.org/10.1016/J.JPDC.2023.104764 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Spatial metabolomics: from a niche field towards a driver of innovation || || https://doi.org/10.1038/S42255-023-00881-0 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Journal of Systems Architecture || || https://doi.org/10.1016/J.SYSARC.2024.103157 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Forecasting Trends in Cloud-Edge Computing: Unleashing the Power of Attention Mechanisms || 2025 || https://doi.org/10.1109/MCOM.001.2300583 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Nature Communications || 2023 || https://doi.org/10.1038/S41467-024-52213-9 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Scalable energy-aware VM allocation on cloud data centers through mathematical programming models || 2025 || https://doi.org/10.1016/J.FUTURE.2025.108011 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | DyEndoVO: scene dynamics-aware pose estimation of endoscope in minimally invasive surgery || 2025 || https://doi.org/10.1007/S11548-025-03549-0 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Enhancing the output of time series forecasting algorithms for cloud resource provisioning || 2025 || https://doi.org/10.1016/J.FUTURE.2025.107833 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | IEEE Transactions on Biomedical Engineering || 2024 || https://doi.org/10.1109/TBME.2024.3424771 || Horizon Europe
| |
| |-
| |
| ! [[CODECO]]
| |
| | A Framework for Cognitive, Decentralized Container Orchestration || 2024 || https://doi.org/10.1109/ACCESS.2024.3406861 || Horizon Europe
| |
| |-
| |
| ! [[CoGNETs]]
| |
| | On the characteristics of next generation for redundant clustered reliable data transmission scheme in critical IoT infrastructures || 2025 || https://doi.org/10.21203/RS.3.RS-6115517/V1 || Horizon Europe
| |
| |-
| |
| ! [[CoGNETs]]
| |
| | IEEE Network || 2025 || https://doi.org/10.48550/ARXIV.2407.06227 || Horizon Europe
| |
| |-
| |
| ! [[CoGNETs]]
| |
| | Enhancing network slice security with Deep Reinforcement Learning and Moving Target Defense strategies || 2025 || https://doi.org/10.21203/RS.3.RS-6078424/V1 || Horizon Europe
| |
| |-
| |
| ! [[COGNIFOG]]
| |
| | Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation || || https://doi.org/10.1109/OJCOMS.2024.3466225 || Horizon Europe
| |
| |-
| |
| ! [[COGNIFOG]]
| |
| | Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing || || https://doi.org/10.1109/MWC.015.2300552 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version) || 2024 || https://doi.org/10.1145/3658644.3690369 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Fuzzerfly Effect: Hardware Fuzzing for Memory Safety || 2024 || https://doi.org/10.1109/MSEC.2024.3365070 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Software and Systems Modeling || 2024 || https://doi.org/10.5281/ZENODO.7897782 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing || 2024 || https://doi.org/10.23919/DATE58400.2024.10546625 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | BiRtIO: VirtIO for Real-Time Network Interface Sharing on the Bao Hypervisor || 2024 || https://doi.org/10.1109/ACCESS.2024.3512777 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | FLAShadow: A Flash-based Shadow Stack for Low-end Embedded Systems || 2025 || https://doi.org/10.1145/3670413 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning || 2024 || https://doi.org/10.14722/NDSS.2024.241366 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Firmware Secure Updates meet Formal Verification || 2025 || https://doi.org/10.1145/3754455 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | AnyTEE: An Open and Interoperable Software Defined TEE Framework || 2025 || https://doi.org/10.1109/ACCESS.2025.3581487 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | CryptojackingTrap: An Evasion Resilient Nature-Inspired Algorithm to Detect Cryptojacking Malware || 2024 || https://doi.org/10.21227/kwh4-0g27 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Marionette: Manipulate Your Touchscreen via A Charging Cable || 2023 || https://doi.org/10.1109/TDSC.2023.3326181 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | HSP-V: Hypervisor-less Static Partitioning for RISC-V COTS Platforms || 2024 || https://doi.org/10.1109/ACCESS.2024.3399601 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Fair and efficient resource allocation via vehicle-edge cooperation in 5G-V2X networks || 2024 || https://doi.org/10.1016/J.VEHCOM.2024.100773 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack || 2025 || https://doi.org/10.3390/JLPEA15010010 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems || 2024 || https://doi.org/10.1016/J.FUTURE.2024.06.032 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator || 2025 || https://doi.org/10.1016/J.NEUCOM.2023.126885 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | Performance Characterization of Hardware/Software Communication Interfaces in End-to-End Power Management Solutions of High-Performance Computing Processors || 2025 || https://doi.org/10.3390/EN17225778 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | HazardNet: A thermal hazard prediction framework for datacenters || || https://doi.org/10.1016/J.FUTURE.2024.01.031 || Horizon Europe
| |
| |-
| |
| ! [[DECICE]]
| |
| | M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer || 2023 || https://doi.org/10.3929/ethz-b-000614369 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Energy-Efficient Task Computation at the Edge for Vehicular Services || 2025 || https://doi.org/10.48550/ARXIV.2511.18449 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Design and implementation of a platform for stateful agents at the edge || 2026 || https://doi.org/10.1016/J.PMCJ.2026.102175 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Entropy || 2025 || https://doi.org/10.3390/E27050463 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | A Decentralized Strategy for Unweighted Minimum Vertex Cover || 2025 || https://doi.org/10.1145/3672608.3707737 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Balancing local vs. remote state allocation for micro-services in the cloud–edge continuum || 2023 || https://doi.org/10.1016/J.PMCJ.2023.101808 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Ambusher: Exploring the Security of Distributed SDN Controllers Through Protocol State Fuzzing || 2024 || https://doi.org/10.1109/TIFS.2024.3402967 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | EDGELESS: A Software Architecture for Stateful FaaS at the Edge || 2024 || https://doi.org/10.1145/3625549.3658817 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Energy-Efficient Deployment of Stateful FaaS Vertical Applications on Edge Data Networks || 2024 || https://doi.org/10.48550/ARXIV.2405.04263 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Rethinking the Mobile Edge for Vehicular Services || 2024 || https://doi.org/10.1016/J.COMNET.2024.110687 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments || 2024 || https://doi.org/10.48550/ARXIV.2404.10715 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | ARASEC: Adaptive Resource Allocation and Model Training for Serverless Edge–Cloud Computing || 2025 || https://doi.org/10.1109/MIC.2024.3514670 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Ambusher: Exploring the Security of Distributed SDN Controllers through Protocol State Fuzzing || 2024 || https://doi.org/10.1109/TIFS.2024.3402967 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Blockchain-Based Services Implemented in a Microservices Architecture Using a Trusted Platform Module Applied to Electric Vehicle Charging Stations || 2023 || https://doi.org/10.3390/en16114285 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | Secure Sensor Prototype Using Hardware Security Modules and Trusted Execution Environments in a Blockchain Application: Wine Logistic Use Case || 2023 || https://doi.org/10.3390/electronics12132987 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Serverless computing: A security perspective || 2022 || https://doi.org/10.1186/s13677-022-00347-w || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Resource-aware Cyber Deception for Microservice-based Applications || 2024 || https://doi.org/10.1109/TSC.2024.3395919 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Assessing the Potential Energy Savings of a Fluidified Infrastructure || 2023 || https://doi.org/10.1109/MC.2023.3244033 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Adapting Containerized Workloads for the Continuum Computing || 2024 || https://doi.org/10.1109/ACCESS.2024.3434585 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Computing Without Borders: The Way Towards Liquid Computing || 2022 || https://doi.org/10.1109/TCC.2022.3229163 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | A multi-layer guided reinforcement learning-based tasks offloading in edge computing || 2022 || https://doi.org/10.1016/j.comnet.2022.109476 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | Locality-aware deployment of application microservices for multi-domain fog computing || 2023 || https://doi.org/10.1016/j.comcom.2023.02.012 || Horizon Europe
| |
| |-
| |
| ! [[FLUIDOS]]
| |
| | BASTION: Beyond automated service and security orchestration for next-generation networks || 2025 || https://doi.org/10.1016/J.COMNET.2025.111352 || Horizon Europe
| |
| |-
| |
| ! [[HYPER-AI]]
| |
| | Lightweight authenticated key exchange for low-power IoT networks using EDHOC || 2025 || https://doi.org/10.1016/J.IOT.2025.101539 || Horizon Europe
| |
| |-
| |
| ! [[HYPER-AI]]
| |
| | Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data || 2025 || https://doi.org/10.3390/AI6020041 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications || || https://doi.org/10.3390/ELECTRONICS12183940 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | IEEE Access || 2024 || https://doi.org/10.1109/ACCESS.2024.3422349 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Distributed Machine Learning and Native AI Enablers for End-to-End Resources Management in 6G || 2023 || https://doi.org/10.3390/ELECTRONICS12183761 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | HOODIE: Hybrid Computation Offloading via Distributed Deep Reinforcement Learning in Delay-Aware Cloud-Edge Continuum || 2024 || https://doi.org/10.36227/TECHRXIV.173161211.11891475/V1 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Data-Centric Service-Based Architecture for Edge-Native 6G Network || 2024 || https://doi.org/10.5281/ZENODO.8335531 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications || 2025 || https://doi.org/10.3390/FI17090417 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | A Survey on IoT-Edge-Cloud Continuum Systems: Status, Challenges, Use Cases, and Open Issues || 2023 || https://doi.org/10.20944/PREPRINTS202311.0532.V1 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | 5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security, and Privacy Challenges for Smart Culture Applications || 2025 || https://doi.org/10.1109/ACCESS.2025.3578595 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | SBNNR: Small-Size Bat-Optimized KNN Regression || 2024 || https://doi.org/10.3390/FI16110422 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems || 2023 || https://doi.org/10.1016/J.JNCA.2023.103669 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | IEEE Access || 2024 || https://doi.org/10.1109/ACCESS.2024.3350777 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Beyond Multi-Access Edge Computing: Essentials to Realize a Mobile, Constrained Edge || 2024 || https://doi.org/10.5281/zenodo.10512505 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Data Aging Matters: Federated Learning-Based Consumption Prediction in Smart Homes via Age-Based Model Weighting || 2023 || https://doi.org/10.3390/electronics12143054 || Horizon Europe
| |
| |-
| |
| ! [[ICOS]]
| |
| | Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps || 2023 || https://doi.org/10.5281/zenodo.10055331 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Fluidity: Providing flexible deployment and adaptation policy experimentation for serverless and distributed applications spanning cloud–edge–mobile environments || 2024 || https://doi.org/10.1016/J.FUTURE.2024.03.031 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Deep Dive into NTP Pool's Popularity and Mapping || 2024 || https://doi.org/10.1145/3639041 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Disclosing Edge Intelligence: A Systematic Meta-Survey || 2023 || https://doi.org/10.3390/BDCC7010044 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering || 2024 || https://doi.org/10.1145/3726854.3727296 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Proximity-Aware Federated Learning for Symbiotic Task Offloading in Vehicular-Edge Intelligence || 2025 || https://doi.org/10.5281/ZENODO.18631263 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | TRIDENT: Tri-modal Real-time Intrusion Detection Engine for New Targets || 2025 || https://doi.org/10.48550/ARXIV.2504.06417 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Optical switching for data centers and advanced computing systems [Invited] || 2024 || https://doi.org/10.1364/JOCN.534317 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Improving Far-Edge Device Management in IoT Applications Using Kubernetes || 2025 || https://doi.org/10.1109/OJIES.2025.3581076 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Implementation and Evaluation of Multi-Hop Parallel Split Learning || 2026 || https://doi.org/10.1109/ACCESS.2026.3653864 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives || 2023 || https://doi.org/10.3390/s23031639 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Compressed Sensing Approach for Physiological Signals: A Review || 2023 || https://doi.org/10.1109/jsen.2023.3243390 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | Tracking submarine cables in the wild || 2024 || https://doi.org/10.1016/j.comnet.2024.110234 || Horizon Europe
| |
| |-
| |
| ! [[NebulOus]]
| |
| | Journal of Cloud Computing || 2024 || https://doi.org/10.1186/S13677-024-00653-5 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments || 2024 || https://doi.org/10.1109/ACCESS.2024.3472473 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | An Enhanced Method for Objective QoE Analysis in Adaptive Streaming Services || 2025 || https://doi.org/10.1109/ACCESS.2025.3606203 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Seamless User-Generated Content Processing for Smart Media: Delivering QoE-Aware Live Media with YOLO-Based Bib Number Recognition || 2025 || https://doi.org/10.3390/ELECTRONICS14204115 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation || 2024 || https://doi.org/10.3390/AI5040143 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | FREDY: Federated Resilience Enhanced with Differential Privacy || 2023 || https://doi.org/10.3390/FI15090296 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Performance Evaluation of YOLOv8-Based Bib Number Detection in Media Streaming Race || 2024 || https://doi.org/10.1109/TBC.2024.3414656 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Olive Tree Segmentation from UAV Imagery || 2024 || https://doi.org/10.3390/DRONES8080408 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | A software-defined connectivity service for multi-cluster cloud native applications || 2024 || https://doi.org/10.1016/J.COMNET.2024.110479 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Multisite gaming streaming optimization over virtualized 5G environment using Deep Reinforcement Learning techniques || 2024 || https://doi.org/10.1016/J.COMNET.2024.110334 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Future Generation Computer Systems || || https://doi.org/10.5281/ZENODO.10620887 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | On-device Online Learning and Semantic Management of TinyML Systems || 2025 || https://doi.org/10.1145/3665278 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | AI-Assisted Synergetic Orchestration Mechanisms for Autoscaling in Computing Continuum Systems || 2025 || https://doi.org/10.1109/MCOM.001.2200583 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Lightweight authenticated key exchange for low-power IoT networks using EDHOC || 2025 || https://doi.org/10.1016/J.IOT.2025.101539 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | CLINT: Controller-Assisted Lightweight In-Band Network Telemetry || 2024 || https://doi.org/10.5281/ZENODO.15813486 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Intent-driven orchestration of serverless applications in the computing continuum || 2023 || https://doi.org/10.5281/zenodo.10620887 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | The Cloud-to-Edge-to-IoT Continuum as an Enabler for Search and Rescue Operations || 2023 || https://doi.org/10.3390/fi15020055 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Intelligent and Resource-Conserving Service Function Chain (SFC) Embedding. || 2023 || https://doi.org/10.1007/s10922-023-09771-y || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Unsupervised Deep Learning for Distributed Service Function Chain Embedding || 2023 || https://doi.org/10.1109/ACCESS.2023.3308492 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Innovative security and compression for constrained IoT networks || 2023 || https://doi.org/10.5281/zenodo.10638695 || Horizon Europe
| |
| |-
| |
| ! [[Nephele]]
| |
| | Deterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry || 2023 || https://doi.org/10.5281/zenodo.10522553 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | CRASHED: Cyber risk assessment for smart home electronic devices || 2025 || https://doi.org/10.1016/J.JISA.2025.104054 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Towards Continuous Development for Quantum Programming in Decentralized IoT environments || 2024 || https://doi.org/10.1016/J.PROCS.2024.05.190 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | IEEE Access || 2024 || https://doi.org/10.1109/ACCESS.2024.3506212 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | INCHAIN: a cyber insurance architecture with smart contracts and self-sovereign identity on top of blockchain || 2023 || https://doi.org/10.1007/s10207-023-00741-8 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Neuromorphic computing based on halide perovskites || 2023 || https://doi.org/10.1038/s41928-023-01082-z || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Energy Efficiency in Agriculture through Tokenization of 5G and Edge Applications || 2023 || https://doi.org/10.3390/en16135182 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Towards Continuous Development for Quantum Programming in Decentralized IoT environments || 2023 || https://doi.org/10.1016/j.procs.2024.05.190 || Horizon Europe
| |
| |-
| |
| ! [[OASEES]]
| |
| | Enhancing 5G performance: A standalone system platform with customizable features || 2024 || https://doi.org/10.1016/j.aeue.2024.155515 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Management of 6TiSCH Networks Using CORECONF: A Clustering Use Case || 2025 || https://doi.org/10.1109/TNSM.2025.3627112 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Pre-Shared Key Authentication with EDHOC: the Security-Performance Tradeoff || 2025 || https://doi.org/10.1109/ACCESS.2025.3633152 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Toward Sustainable Mars Exploration: A Perspective on Collaborative Intelligent Systems || 2025 || https://doi.org/10.3390/AEROSPACE12050432 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Temporal distillation: compressing a policy in space and time || 2025 || https://doi.org/10.1007/S10994-025-06889-9 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | A Multi-Drone System Proof of Concept for Forestry Applications || 2025 || https://doi.org/10.3390/DRONES9020080 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Energy-aware multi-robot task scheduling using meta-heuristic optimization methods for ambiently-powered robot swarms || 2025 || https://doi.org/10.1016/J.ROBOT.2024.104898 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | A comprehensive survey on channel hopping and scheduling enhancements for TSCH networks || 2025 || https://doi.org/10.1016/J.JNCA.2025.104164 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Automatic Lighthouse Calibration Using Conics for Indoor Robot Localization || 2025 || https://doi.org/10.1109/LRA.2025.3575319 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Minimal-Overlap Centrality for Multi-Gateway Designation in Real-Time TSCH Networks || 2025 || https://doi.org/10.1145/3610583 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Scalable Plug-and-Play Robotic Fabrics Based on Kilobot Modules || 2025 || https://doi.org/10.1109/LRA.2025.3568313 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Embedded Artificial Intelligence for IoT Applications Using the MAX78000 || 2025 || https://doi.org/10.1109/ACCESS.2025.3546557 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Secure Communication for the IoT: EDHOC and (Group) OSCORE Protocols || 2024 || https://doi.org/10.1109/ACCESS.2024.3384095 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | EDHOC Is a New Security Handshake Standard: An Overview of Security Analysis || 2024 || https://doi.org/10.1109/MC.2024.3415908 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Lighthouse Localization of Miniature Wireless Robots || 2024 || https://doi.org/10.1109/lra.2024.3405345 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Monitoring performance metrics in low-power wireless systems || 2024 || https://doi.org/10.1016/j.icte.2024.08.004 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices || 2024 || https://doi.org/10.3390/s24154876 || Horizon Europe
| |
| |-
| |
| ! [[OpenSwarm]]
| |
| | https://www.sciencedirect.com/science/article/pii/S0921889025003574 || 2026 || https://doi.org/10.1016/J.ROBOT.2025.105260 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | 5G Tiny-ML AI-Based IoT e-Nose System for Hazardous Odor Detection and Classification || 2025 || https://doi.org/10.1109/JSEN.2025.3567576 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Optimizing AI Transformer Models for CO₂ Emission Prediction in Self-Driving Vehicles With Mobile/Multi-Access Edge Computing Support || 2024 || https://doi.org/10.1109/ACCESS.2024.3491306 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Intent-driven network automation through sustainable multimodal generative AI || 2025 || https://doi.org/10.1186/S13638-025-02472-X || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Optimizing Kubernetes with Multi-Objective Scheduling Algorithms: A 5G Perspective || 2025 || https://doi.org/10.3390/COMPUTERS14090390 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Design, Implementation and Validation of a Level 2 Automated Driving Vehicle Reference Architecture || 2025 || https://doi.org/10.1111/EXSY.70050 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks || 2025 || https://doi.org/10.1109/OJCOMS.2025.3533093 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Intent-Based Infrastructure and Service Orchestration Using Agentic-AI || 2025 || https://doi.org/10.1109/OJCOMS.2025.3600706 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Efficient CNN-based low-resolution facial detection from UAVs || 2024 || https://doi.org/10.1007/s00521-023-09401-3 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring || 2023 || https://doi.org/10.1016/j.iot.2023.100755 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network || 2023 || https://doi.org/10.3390/s23031671 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles || 2023 || https://doi.org/10.3390/s23031350 || Horizon Europe
| |
| |-
| |
| ! [[P2CODE]]
| |
| | Design and Implementation of an AI-Enabled Sensor for the Prediction of the Behaviour of Software Applications in Industrial Scenarios || 2024 || https://doi.org/10.3390/s24041236 || Horizon Europe
| |
| |-
| |
| ! [[Riser]]
| |
| | Riser: Raising RISC-V to the cloud || 2023 || https://doi.org/10.5281/zenodo.8099892 || Horizon Europe
| |
| |-
| |
| ! [[Riser]]
| |
| | Riser: The first All- European RISC-V Cloud Server Infrastructure || 2023 || https://doi.org/10.5281/zenodo.8099918 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | A combination learning framework to uncover cyber attacks in IoT networks || 2024 || https://doi.org/10.1016/J.IOT.2024.101395 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Future Generation Computer Systems || 2026 || https://doi.org/10.5281/ZENODO.17804256 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Toward Mitigation of Flow Table Modification Attacks in P4‐Based SDN Data Plane || 2025 || https://doi.org/10.1002/SPY2.70008 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | IEEE Access || 2025 || https://doi.org/10.1109/ACCESS.2025.3628066 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | IEEE Transactions on Network and Service Management || 2024 || https://doi.org/10.1109/TNSM.2024.3443285 || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Securing IoT: Unveiling Attacks with Multiview-Multitask Learning || 2025 || https://doi.org/10.1109/TAI.2025.3615565 || Horizon Europe | |
| |- | |
| ! [[COGNIT]]
| |
| | Future Generation Computer Systems || 2026 || https://doi.org/10.1016/J.FUTURE.2025.108161 || Horizon Europe | |
| |- | |
| ! [[COGNIT]]
| |
| | Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models || 2024 || https://doi.org/10.1007/s10586-024-04383-w || Horizon Europe
| |
| |-
| |
| ! [[COGNIT]]
| |
| | Journal of Cloud Computing || 2023 || https://doi.org/10.1186/s13677-023-00485-9 || Horizon Europe
| |
| |-
| |
| ! [[TaRDIS]]
| |
| | P4R-Type: A Verified API for P4 Control Plane Programs || 2023 || https://doi.org/10.1145/3622866 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Federated transfer learning-based intrusion detection system in 5G networks || 2026 || https://doi.org/10.1016/J.ESWA.2025.130868 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Enhancing cybersecurity in railways: Machine learning approaches for attack detection || 2026 || https://doi.org/10.1016/J.IJCIP.2025.100788 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Multi Hardware-Attack Dataset and ML-based Detection Using Processor Stress Patterns on x86 || 2025 || https://doi.org/10.64552/WIPIEC.V11I1.94 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Automatic linux malware detection using binary inspection and runtime opcode tracing || 2026 || https://doi.org/10.1016/J.MICPRO.2025.105237 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | A survey on hardware-based malware detection approaches || 2024 || https://doi.org/10.1109/ACCESS.2024.3388716 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures || 2024 || https://doi.org/10.1016/J.ENGAPPAI.2023.107689 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Silent Data Corruptions: Microarchitectural Perspectives || 2023 || https://doi.org/10.1109/TC.2023.3285094 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | Deep-Learning Based Detection for Cyber-Attacks in IoT Networks: A Distributed Attack Detection Framework || 2023 || https://doi.org/10.1007/S10922-023-09722-7 || Horizon Europe
| |
| |-
| |
| ! [[Vitamin-V]]
| |
| | A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things || 2023 || https://doi.org/10.3390/S23031252 || Horizon Europe
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification || 2023 || https://doi.org/10.1016/j.asoc.2023.110555 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Demystifying Attestation in Intel Trust Domain Extensions via Formal Verification || 2021 || https://doi.org/10.1109/access.2021.3087421 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Capacity Planning for Dependable Services || 2023 || https://doi.org/10.1016/j.tcs.2023.114126 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Serverless Workflows for Containerised Applications in the Cloud Continuum || 2021 || https://doi.org/10.1007/s10723-021-09570-2 || Horizon 2020
| |
| |- | |
| ! [[AI-SPRINT]]
| |
| | Performance Prediction of Deep Learning Applications Training in GPU as a Service Systems || 2021 || https://doi.org/10.1007/s10586-021-03428-8 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Perun: Confidential Multi-stakeholder Machine Learning Framework with Hardware Acceleration Support || 2021 || https://doi.org/10.1007/978-3-030-81242-3_11 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | TaScaaS: A Multi-Tenant Serverless Task Scheduler and Load Balancer as a Service || 2021 || https://doi.org/10.1109/access.2021.3109972 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Network Function Decomposition and Offloading on Heterogeneous Networks With Programmable Data Planes || 2021 || https://doi.org/10.1109/ojcoms.2021.3101366 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | A Stochastic Approach for Scheduling AI Training Jobs in GPU-based Systems || 2023 || https://doi.org/10.1109/tcc.2023.3336540 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | Rescheduling Serverless Workloads Across the Cloudto-Edge Continuum || 2023 || https://doi.org/10.1016/j.future.2023.12.015 || Horizon 2020
| |
| |-
| |
| ! [[AI-SPRINT]]
| |
| | A Serverless Gateway for Event-driven Machine Learning Inference in Multiple Clouds || 2022 || https://doi.org/10.1002/cpe.6728 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing || 2023 || https://doi.org/10.1109/tnsm.2023.3292392 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | MAGES 4.0: Accelerating the world’s transition to VR training and democratizing the authoring of the medical metaverse || 2023 || https://doi.org/10.1109/mcg.2023.3242686 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Toward Supporting XR Services: Architecture and Enablers || 2023 || https://doi.org/10.1109/jiot.2022.3222103 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction || 2022 || https://doi.org/10.52953/ehjp3291 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network || 2023 || https://doi.org/10.1016/j.comnet.2022.109339 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Graph Neural Networks for Representing Multivariate Resource Usage: a Multiplayer Mobile Gaming Case-study || 2023 || https://doi.org/10.1016/j.jjimei.2023.100158 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars || 2022 || https://doi.org/10.1109/tnsm.2022.3153452 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | An empirical characterization of software bugs in open-source Cyber–Physical Systems || 2022 || https://doi.org/10.1016/j.jss.2022.111425 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | JUGE: An Infrastructure for Benchmarking Java Unit Test Generators || 2022 || https://doi.org/10.48550/arxiv.2106.07520 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Machine learning-based test selection for simulation-based testing of self-driving cars software || 2023 || https://doi.org/10.1007/s10664-023-10286-y || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Metamorphic Testing for Web System Security || 2023 || https://doi.org/10.1109/tse.2023.3256322 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | “Won’t We Fix this Issue?” Qualitative characterization and automated identification of wontfix issues on GitHub || 2021 || https://doi.org/10.1016/j.infsof.2021.106665 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Generating Class-Level Integration Tests Using Call Site Information || 2022 || https://doi.org/10.1109/tse.2022.3209625 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | A decade of code comment quality assessment: A systematic literature review || 2023 || https://doi.org/10.1016/j.jss.2022.111515 || Horizon 2020
| |
| |- | |
| ! [[Cosmos]]
| |
| | Basic block coverage for search-based unit testing and crash reproduction || 2022 || https://doi.org/10.1007/s10664-022-10155-0 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Systematic Evaluation of Deep Learning Models for Failure Prediction || 2024 || https://doi.org/10.48550/arxiv.2303.07230 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study || 2023 || https://doi.org/10.1145/3571854 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Test smells 20 years later: detectability, validity, and reliability || 2022 || https://doi.org/10.1007/s10664-022-10207-5 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Trace Diagnostics for Signal-Based Temporal Properties || 2023 || https://doi.org/10.1109/tse.2023.3242588 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms || 2023 || https://doi.org/10.1145/3564821 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments || 2022 || https://doi.org/10.1145/3533818 || Horizon 2020
| |
| |-
| |
| ! [[Cosmos]]
| |
| | Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems || 2023 || https://doi.org/10.1109/icse48619.2023.00155 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines || 2023 || https://doi.org/10.3390/s23020564 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Data-Aware Declarative Process Mining with SAT || 2023 || https://doi.org/10.1145/3600106 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review || 2022 || https://doi.org/10.3390/fi14050129 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog || 2023 || https://doi.org/10.1109/tpds.2023.3262695 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Big Data Pipelines on the Computing Continuum: Tapping the Dark Data || 2022 || https://doi.org/10.1109/mc.2022.3154148 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Container-based Data Pipelines on the Computing Continuum for Remote Patient Monitoring || 2023 || https://doi.org/10.1109/mc.2023.3285414 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis || 2023 || https://doi.org/10.1016/j.is.2023.102180 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum || 2022 || https://doi.org/10.1109/mc.2022.3142151 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Towards blockchain-based fog and edge computing for privacy-preserving smart cities || 2022 || https://doi.org/10.3389/frsc.2022.846987 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Reactive synthesis of software robots in RPA from user interface logs || 2022 || https://doi.org/10.1016/j.compind.2022.103721 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Conceptualization and Scalable Execution of Big Data Workflows Using Domain-Specific Languages and Software Containers || 2021 || https://doi.org/10.1016/j.iot.2021.100440 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Big Data Workflows: Locality-Aware Orchestration Using Software Containers || 2021 || https://doi.org/10.3390/s21248212 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Cloud, Fog or Edge: Where to Compute? || 2021 || https://doi.org/10.1109/mic.2021.3050613 || Horizon 2020
| |
| |- | |
| ! [[DataCloud]]
| |
| | Handover Authentication Latency Reduction Using Mobile Edge Computing and Mobility Patterns || 2021 || https://doi.org/10.1007/s00607-021-00969-z || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Mobility-Aware IoT Applications Placement in the Cloud Edge Continuum || 2021 || https://doi.org/10.1109/TSC.2021.3094322 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Data-driven linear quadratic regulation via semidefinite programming || 2020 || https://doi.org/10.1016/j.ifacol.2020.12.2264 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Argumentation-Based Online Incremental Learning || 2022 || https://doi.org/10.1109/tase.2021.3120837 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Resource Management in a Peer to Peer Cloud Network for IoT || 2020 || https://doi.org/10.1007/s11277-020-07691-7 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Optimal Feature Search for Vigilance Estimation Using Deep Reinforcement Learning || 2020 || https://doi.org/10.3390/electronics9010142 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | High pixel number deformable mirror concept utilizing piezoelectric hysteresis for stable shape configurations || 2021 || https://doi.org/10.1117/1.jatis.7.2.029002 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | On data-driven stabilization of systems with nonlinearities satisfying quadratic constraints || 2022 || https://doi.org/10.1016/j.sysconle.2022.105206 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Influence functions for a hysteretic deformable mirror with a high-density 2D array of actuators || 2020 || https://doi.org/10.1364/ao.397472 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Recursive Algorithm for the Control of Output Remnant of Preisach Hysteresis Operator || 2021 || https://doi.org/10.1109/lcsys.2020.3009423 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Asymptotic Stability Analysis of Lur’e Systems with Butterfly Hysteresis Nonlinearities || 2019 || https://doi.org/10.1109/lcsys.2019.2921850 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction || 2022 || https://doi.org/10.1177/14738716221086589 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | On the Characterization of Butterfly and Multiloop Hysteresis Behavior || 2022 || https://doi.org/10.1109/tac.2021.3109533 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Online learning of data-driven controllers for unknown switched linear systems || 2022 || https://doi.org/10.1016/j.automatica.2022.110519 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Persistent homology of the cosmic web – I. Hierarchical topology in ΛCDM cosmologies || 2021 || https://doi.org/10.1093/mnras/stab2326 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Swift distance transformed belief propagation using a novel dynamic label pruning method || 2020 || https://doi.org/10.1049/iet-ipr.2019.1035 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Detecting straggler MapReduce tasks in big data processing infrastructure by neural network || 2020 || https://doi.org/10.1007/s11227-019-03136-6 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | A machine learning based approach to gravitational lens identification with the International LOFAR Telescope || 2022 || https://doi.org/10.1093/mnras/stac2078 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Local-HDP: Interactive open-ended 3D object category recognition in real-time robotic scenarios || 2022 || https://doi.org/10.1016/j.robot.2021.103911 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | DECORAS: Detection and characterization of radio-astronomical sources using deep learning || 2022 || https://doi.org/10.1093/mnras/stab3519 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Network Tomography with Partial Topology Knowledge and Dynamic Routing || 2023 || https://doi.org/10.1007/s10922-023-09763-y || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Anomaly detection for fault detection in wireless community networks using machine learning || 2023 || https://doi.org/10.1016/j.comcom.2023.02.019 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Secure Distributed Storage Orchestration on Heterogeneous Cloud-Edge Infrastructures || 2023 || https://doi.org/10.1109/tcc.2023.3287653 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch || 2023 || https://doi.org/10.1109/tcad.2022.3212645 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Dynamic Optimization of On-Chip Memories for HLS Targeting Many-Accelerator Platforms || 2022 || https://doi.org/10.1109/lca.2022.3190048 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Variability-Aware Approximate Circuit Synthesis via Genetic Optimization || 2022 || https://doi.org/10.1109/tcsi.2022.3183858 || Horizon 2020
| |
| |-
| |
| ! [[SERRANO]]
| |
| | Automated Design Approximation to Overcome Circuit Aging || 2021 || https://doi.org/10.1109/tcsi.2021.3106149 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Edge intelligence secure frameworks: Current state and future challenges || 2023 || https://doi.org/10.1016/j.cose.2023.103278 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Optimal Design and Orchestration of Mobile Edge Computing With Energy Awareness || 2021 || https://doi.org/10.1109/tsusc.2021.3103476 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Synergetic UAV-RIS Communication With Highly Directional Transmission || 2021 || https://doi.org/10.1109/lwc.2021.3136912 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Detection of Transmission State of Multiple Wireless Sources: A Statistical Mechanics Approach || 2023 || https://doi.org/10.3390/telecom4030029 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Advancing SDN from OpenFlow to P4: A Survey || 2023 || https://doi.org/10.1145/3556973 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Proactive Scheduling for Zero-Energy Device Networks With Fast Uplink Grant || 2023 || https://doi.org/10.1109/lwc.2023.3265993 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Hierarchical Multiple Access (HiMA) for Fog-RAN: Protocol Design and Resource Allocation || 2021 || https://doi.org/10.1109/twc.2021.3100538 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | On the Distribution of the Sum of Double-Nakagami-m Random Vectors and Application in Randomly Reconfigurable Surfaces || 2022 || https://doi.org/10.1109/tvt.2022.3164846 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Extending ADR mechanism for LoRa enabled mobile end-devices || 2021 || https://doi.org/10.1016/j.simpat.2021.102388 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Digital Twin-Aided Orchestration of Mobile Edge Computing With Grant-Free Access || 2023 || https://doi.org/10.1109/ojcoms.2023.3260165 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | DIFFUSE: A DIstributed and decentralized platForm enabling Function composition in Serverless Environments || 2022 || https://doi.org/10.1016/j.comnet.2022.108993 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches || 2021 || https://doi.org/10.1109/ojap.2021.3133459 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems || 2021 || https://doi.org/10.3390/telecom2010005 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Intelligent Over-the-Air Computing Environment || 2022 || https://doi.org/10.1109/lwc.2022.3219250 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Joint QoS Aware Admission Control and Power Allocation in NOMA Downlink Networks || 2023 || https://doi.org/10.1109/access.2023.3262117 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Wireless Powered Multiaccess Edge Computing With Slotted ALOHA || 2022 || https://doi.org/10.1109/lcomm.2022.3211190 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Predictive Maintenance Framework for Fault Detection in Remote Terminal Units || 2024 || https://doi.org/10.3390/forecast6020014 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Over-the-Air Computing with Imperfect CSI: Design and Performance Optimization || 2023 || https://doi.org/10.1109/twc.2023.3330092 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach || 2021 || https://doi.org/10.1109/access.2021.3059589 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Accelerating Distributed Optimization via Over-the-Air Computing || 2023 || https://doi.org/10.1109/tcomm.2023.3286915 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Wireless Quantized Federated Learning: A Joint Computation and Communication Design || 2023 || https://doi.org/10.1109/tcomm.2023.3258485 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | IDS for Industrial Applications: A Federated Learning Approach with Active Personalization || 2021 || https://doi.org/10.3390/s21206743 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | A Priority-Based Semi-Grant-Free NOMA: Protocol Design and Performance Analysis || 2023 || https://doi.org/10.1109/tgcn.2023.3336231 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles || 2022 || https://doi.org/10.1109/tgcn.2022.3189413 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | A Comprehensive Review on Artificial Intelligence/Machine Learning Algorithms for Empowering the Future IoT Toward 6G Era || 2022 || https://doi.org/10.1109/access.2022.3199689 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks || 2021 || https://doi.org/10.3390/s21113936 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Time-slotted LoRa MAC with variable payload support || 2022 || https://doi.org/10.1016/j.comcom.2022.06.043 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Incentive-Based Delay Minimization for 6G-Enabled Wireless Federated Learning || 2022 || https://doi.org/10.3389/frcmn.2022.827105 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration || 2023 || https://doi.org/10.36227/techrxiv.22718374 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Energy-Aware Design of UAV-Mounted RIS Networks for IoT Data Collection || 2022 || https://doi.org/10.1109/tcomm.2022.3229672 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | Multiservice Loss Models for Cloud Radio Access Networks || 2021 || https://doi.org/10.1109/access.2021.3105946 || Horizon 2020
| |
| |-
| |
| ! [[Terminet]]
| |
| | LoRa-Based IoT Network Assessment in Rural and Urban Scenarios || 2023 || https://doi.org/10.3390/s23031695 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report || 2024 || https://doi.org/10.1016/j.scico.2023.103047 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | Machine Learning Techniques for Software Vulnerability Prediction: A comparative study || 2022 || https://doi.org/10.1007/s10489-022-03350-5 || Horizon 2020
| |
| |-
| |
| ! [[VeriDevOps]]
| |
| | A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics || 2022 || https://doi.org/10.3390/s22062126 || Horizon 2020
| |
| |-
| |
| ! [[XANDAR]]
| |
| | A Methodology for Efficient Tile Size Selection for Affine Loop Kernels || 2022 || https://doi.org/10.1007/s10766-022-00734-5 || Horizon 2020
| |
| |}
| |
| | |
| ===Thesis and dissertations===
| |
| {| class="wikitable sortable"
| |
| ! Project !! Title !! Year !! DOI !! Programme
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Optimizing serverless architectures for data-intensive analytics workloads || || https://doi.org/10.5821/DISSERTATION-2117-409989 || Horizon Europe
| |
| |-
| |
| ! [[Nemo]]
| |
| | Deep Reinforcement Learning Implementation for Video Transmission Optimization in New Generation Networks || 2025 || https://doi.org/10.20868/UPM.THESIS.85749 || Horizon Europe
| |
| |-
| |
| ! [[DSSC]]
| |
| | Results on data-driven controllers for unknown nonlinear systems || 2022 || https://doi.org/10.33612/diss.232286598 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Deep learning in high angular-resolution radio interferometry || 2022 || https://doi.org/10.33612/diss.222496441 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Multi-loop Hysteresis and Recursive Remnant Control || 2022 || https://doi.org/10.33612/diss.215199709 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Multi-scale Connectivity and Hierarchical Topology of the Cosmic Web || 2022 || https://doi.org/10.33612/diss.250010290 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Data-driven stabilization and safe control of nonlinear systems || 2023 || https://doi.org/10.33612/diss.273310133 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Explain what you see: argumentation-based learning and robotic vision || 2023 || https://doi.org/10.33612/diss.506782323 || Horizon 2020
| |
| |-
| |
| ! [[DSSC]]
| |
| | Hunting Elusive Excess Variance in Big LOFAR Data || 2022 || https://doi.org/10.33612/diss.240437107 || Horizon 2020
| |
| |}
| |
| | |
| ===Other types of publication===
| |
| {| class="wikitable sortable"
| |
| ! Project !! Title !! Year !! DOI !! Programme
| |
| |-
| |
| ! [[ACES]]
| |
| | Poster: In-Network ML Feature Computation for Malicious Traffic Detection || || https://doi.org/10.1145/3603269.3610866 || Horizon Europe
| |
| |-
| |
| ! [[CloudSkin]]
| |
| | Scaling a Variant Calling Genomics Pipeline with FaaS || 2023 || https://doi.org/10.1145/3631295.3631403 || Horizon Europe
| |
| |-
| |
| ! [[CROSSCON]]
| |
| | Automated Generation of Smart Contract Code from Legal Contract Specifications with Symboleo2SC || 2023 || https://doi.org/10.5281/ZENODO.7897782 || Horizon Europe
| |
| |-
| |
| ! [[EDGELESS]]
| |
| | EDGELESS 1st InfoDay || 2024 || https://doi.org/10.5281/ZENODO.14387909 || Horizon Europe
| |
| |-
| |
| ! [[MLSysOps]]
| |
| | MP-SL: Multihop Parallel Split Learning || 2024 || https://doi.org/10.48550/ARXIV.2402.00208 || Horizon Europe
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Pro-active component image placement in Edge computing environments || 2024 || https://doi.org/10.1016/j.future.2024.04.007 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling || 2024 || https://doi.org/10.1016/j.softx.2024.101786 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Security in Cloud-Native Services: A Survey on Key Features || 2023 || https://doi.org/10.3390/jcp3040034 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Recording and replaying psychomotor user actions in VR || 2022 || https://doi.org/10.1145/3532719.3543253 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | A Lightweight Storage Framework for Edge Computing Infrastructures / EdgePersist || 2023 || https://doi.org/10.1016/j.simpa.2023.100549 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Transition from monolithic to microservice-based applications. Challenges from the developer perspective || 2022 || https://doi.org/10.12688/openreseurope.14505.1 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Serverless computing: a security perspective || 2022 || https://doi.org/10.48550/arxiv.2107.03832 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Performance Analysis of Storage Systems in Edge Computing Infrastructures || 2022 || https://doi.org/10.3390/app12178923 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Privacy-Preserving AI for Future Networks || 2022 || https://doi.org/10.1145/3512343 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | AI-based Resource Management in Beyond 5G Cloud Native Environment || 2021 || https://doi.org/10.1109/mnet.011.2000392 || Horizon 2020
| |
| |-
| |
| ! [[CHARITY]]
| |
| | Asynchronous Time-Sensitive Networking for 5G Backhauling || 2021 || https://doi.org/10.1109/mnet.011.2000402 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Simulated XES event log of a marketing campaign system || 2022 || https://doi.org/10.5281/zenodo.7387553 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Applications of Automated Planning for Business Process Management || 2021 || https://doi.org/10.1007/978-3-030-85469-0_4 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Mastering Robotic Process Automation with Process Mining || 2022 || https://doi.org/10.1007/978-3-031-16103-2_6 || Horizon 2020
| |
| |-
| |
| ! [[DataCloud]]
| |
| | Edge infrastructure traces || 2022 || https://doi.org/10.5281/zenodo.7311294 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks || 2021 || https://doi.org/10.1109/jiot.2021.3051923 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning || 2021 || https://doi.org/10.1109/tcomm.2021.3126650 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs || 2022 || https://doi.org/10.1109/tgcn.2021.3138792 || Horizon 2020
| |
| |-
| |
| ! [[IntellIoT]]
| |
| | Peak Age of Information Distribution for Edge Computing With Wireless Links || 2021 || https://doi.org/10.1109/tcomm.2021.3053038 || Horizon 2020
| |
| |}
| |