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CORDIS - Forschungsergebnisse der EU
CORDIS

Distributed Artificial Intelligence-driven open and programmable architecture for 6G networks

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

D6.2: Dissemination, communication, standardisation, exploitation, IPR, clustering - Initial (öffnet in neuem Fenster)

Plan for the exploitation and dissemination of results including communication activities updated by M18, and reports containing the dissemination, communication, trainings, standardisation, exploitation, and clustering activities with communities/associations. Moreover, the report will contain innovation and IPR management matters.

D2.2 System Architecture - Initial (öffnet in neuem Fenster)

Description of the initial architecture of the ADROIT6G project

D2.1: Requirements, use cases and system architecture - Initial (öffnet in neuem Fenster)

The initial version of the deliverable will provide a detailed analysis of the functional requirements from the use cases perspectives (including the definition of relevant KPIs and KVIs to be validated) and their translation into technical requirements to be used in the design of the ADROIT6G platform architecture and its components, their detailed low-level design, and the testing and verification methodology containing the definition of test reports format and benchmarking for the validation of the KPIs and KVIs to ensure compatibility as well as future re-usability.

D3.2: Distributed AI framework for CrowdSourcing AI - Initial (öffnet in neuem Fenster)

First release of software and AI algorithmic components of ADROIT6G implementing energy efficient automated AI orchestration, multimodal generative models for scalable monitoring and secure data distribution, CrowdSourcing AI and AI algorithms for joint resource management.

D4.1: AI-driven Management & Orchestration and Control frameworks - Initial (öffnet in neuem Fenster)

First release of software and AI algorithms for inter-domain slice and resource management with UE-VBS and non-terrestrial networks, multi-scale scale strategies for distributed closed loop automation, AI models, BDIx features selection and open, programmable data plane for multi-X domains.

Veröffentlichungen

Edge-device collaborative computing for multi-view classification (öffnet in neuem Fenster)

Autoren: Marco Palena, Tania Cerquitelli, Carla Fabiana Chiasserini
Veröffentlicht in: Computer Networks, Ausgabe 254, 2024, ISSN 1389-1286
Herausgeber: Elsevier BV
DOI: 10.1016/j.comnet.2024.110823

Multi-Modal Latent Diffusion (öffnet in neuem Fenster)

Autoren: BB. Mustapha, G. Franzese, and P. Michiardi
Veröffentlicht in: MDPI Entropy, 2024, ISSN 2078-2489
Herausgeber: MDPI
DOI: 10.3390/e26040320

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization (öffnet in neuem Fenster)

Autoren: A. Ghalkha, C. B. Issaid, A. Elgabli and M. Bennis
Veröffentlicht in: IEEE Transactions on Machine Learning in Communications and Networking, 2024, ISSN 2831-316X
Herausgeber: IEEE
DOI: 10.1109/TMLCN.2024.3400756

Quantized FedPD (QFedPD): Beyond Conventional Wisdom The Energy Benefits of Frequent Communication (öffnet in neuem Fenster)

Autoren: Anis Elgabli, Chaouki Ben Issaid, Mohamed Badi, Mehdi Bennis
Veröffentlicht in: IEEE Internet of Things Journal, 2024, ISSN 2327-4662
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JIOT.2024.3464239

SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks (öffnet in neuem Fenster)

Autoren: C. Puligheddu, J. Ashdown, C. F. Chiasserini, F. Restuccia
Veröffentlicht in: IEEE Transactions on Mobile Computing, 2024, ISSN 1536-1233
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMC.2023.3339056

Intelligent QoS-aware Slice Resource Allocation with User Association Parameterization for Beyond 5G O-RAN-based Architecture Using DRL (öffnet in neuem Fenster)

Autoren: Suvidha Mhatre, Ferran Adelantado, Kostas Ramantas, Christos Verikoukis
Veröffentlicht in: IEEE Transactions on Vehicular Technology, 2024, ISSN 0018-9545
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TVT.2024.3483288

A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network (öffnet in neuem Fenster)

Autoren: S. Rani, I. I. Ioannou, P. Nagaradjan, C. Christophorou, V. Vassiliou, H. Yarramsetti, S. Shridhar, L. Mukund Balaji, A. Pitsillides.
Veröffentlicht in: IEEE Access, 2023, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2023.3308036

Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management (öffnet in neuem Fenster)

Autoren: W. A. Aziz, I. I. Ioannou, M. Lestas, H. K. Qureshi, A. Iqbal and V. Vassiliou
Veröffentlicht in: IEEE Access, 2023, ISSN 1536-1233
Herausgeber: IEE
DOI: 10.1109/ACCESS.2023.3309002

Fair and Scalable Orchestration of Network and Compute Resources for Virtual Edge Services (öffnet in neuem Fenster)

Autoren: S. Tripathi, C. Puligheddu,  S. Pramanik, A. Garcia-Saavedra, C. F. Chiasserini
Veröffentlicht in: IEEE Transactions on Mobile Computing, 2024, ISSN 1536-1233
Herausgeber: IEEE
DOI: 10.1109/TMC.2023.3254999

AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey (öffnet in neuem Fenster)

Autoren: R. B. Shaik, P. Nagaradjane, I. Ioannou, V. Sittakul, V. Vasiliou, A. Pitsillides.
Veröffentlicht in: Computer Networks, 2024, ISSN 1389-1286
Herausgeber: Elsevier
DOI: 10.1016/j.comnet.2024.110506

DeepRISBeam: Deep Learning-based RIS Beam Management for Radio Channel Optimization (öffnet in neuem Fenster)

Autoren: I. Ioannou, M. Raspopoulos, P. Nagaradjane, C. Christophorou, W. A. Aziz, V. Vassiliou, A. Pitsillides.
Veröffentlicht in: IEEE Access, 2024, ISSN 2169-3536
Herausgeber: IEE
DOI: 10.1109/ACCESS.2024.3411929

Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case (öffnet in neuem Fenster)

Autoren: S. Roy, H. Chergui, C. Verikoukis
Veröffentlicht in: IEEE Transactions on Vehicular Technology, 2024, ISSN 0018-9545
Herausgeber: IEEE
DOI: 10.48550/arXiv.2307.12903

BayGO: Decentralized Bayesian Learning and Information-Aware Graph Optimization Framework (öffnet in neuem Fenster)

Autoren: T. AlShammari, C. Weeraddana and M. Bennis,
Veröffentlicht in: IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, ISSN 1536-1233
Herausgeber: IEEE
DOI: 10.1109/TSP.2024.3387277

Digital Twin and Meta RL Empowered Fast-Adaptation of Joint User Scheduling and Task Offloading for Mobile Industrial IoT (öffnet in neuem Fenster)

Autoren: H. Xu, J. Wu, Q. Pan, X.Liu, C. Verikoukis
Veröffentlicht in: IEEE Journal on Selected Areas in Communications, 2023, ISSN 1536-1233
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSAC.2023.3310081

Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning (öffnet in neuem Fenster)

Autoren: M. Badi, C. Ben Issaid, A. Elgabli, M. Bennis
Veröffentlicht in: 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2024, ISBN 979-8-3503-4319-9
Herausgeber: IEEE
DOI: 10.1109/ICMLCN59089.2024.10624815

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing (öffnet in neuem Fenster)

Autoren: S. Roy; F. Rezazadeh; H. Chergui; C. Verikoukis
Veröffentlicht in: ICC 2023 - IEEE International Conference on Communications, 2023, ISSN 1938-1883
Herausgeber: IEEE
DOI: 10.1109/ICC45041.2023.10279790

ML-Aided Dynamic Clustering and Classification of UEs as VBs in D2D Communication Networks (öffnet in neuem Fenster)

Autoren: I. Ioannou, P. Nagaradjane, A. Khalifeh, C. Christophorou, V. Vassiliou, G. V. S. Sashank, C. Jain, A. Pitsillides
Veröffentlicht in: 2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 2023, ISBN 979-8-3503-0045-1
Herausgeber: IEEE
DOI: 10.1109/WiSPNET57748.2023.10134336

Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems (öffnet in neuem Fenster)

Autoren: Iacovos Ioannou, Prabagarane Nagaradjane, Ala' Khalifeh, R Dhivyaharshini, A Harini, Vasos Vassiliou
Veröffentlicht in: 2024 IEEE 30th International Conference on Telecommunications (ICT), 2024
Herausgeber: IEEE
DOI: 10.1109/ICT62760.2024.10606029

Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks (öffnet in neuem Fenster)

Autoren: Iacovos Ioannou, Michael Savva, Marios Raspopoulos, Christophoros Christophorou, Vasos Vassiliou
Veröffentlicht in: 2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet), 2024
Herausgeber: IEEE
DOI: 10.1109/MedComNet62012.2024.10578201

Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning (öffnet in neuem Fenster)

Autoren: M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis
Veröffentlicht in: 2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023, ISSN 1558-2612
Herausgeber: IEEE
DOI: 10.1109/WCNC55385.2023.10118646

ADROIT6G DAI-driven Open and Programmable Architecture for 6G Networks

Autoren: C. Christophorou, I. Ioannou, V. Vassiliou, L. Christofi, J. S. Vardakas, E. E. Seder, C. F. Chiasserini, M. Iordache, C. Ben Issaid, I. Markopoulos, G. Franzese, T. Järvet, C. Verikoukis
Veröffentlicht in: 2023 IEEE Globecom Workshops (GC Wkshps), 2024, ISBN 979-8-3503-7021-8
Herausgeber: IEEE

6G Initial Developments for Flagship Applications Experiments (öffnet in neuem Fenster)

Autoren: CristC. Patachia; R. Mihai; M. Iordache
Veröffentlicht in: 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2023, ISBN 979-8-3503-2138-8
Herausgeber: IEEE
DOI: 10.1109/ECAI58194.2023.10194117

Performance Evaluation of Machine Learning Cluster Metrics for Mobile Network Augmentation (öffnet in neuem Fenster)

Autoren: I. Ioannou, C. Christophorou, P. Nagaradjane, V. Vassiliou.
Veröffentlicht in: 2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), 2024, ISBN 979-8-3503-5084-5
Herausgeber: IEEE
DOI: 10.1109/WiSPNET61464.2024.10532825

Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks (öffnet in neuem Fenster)

Autoren: Michael Savva, Iacovos Ioannou, Vasos Vassiliou
Veröffentlicht in: 2024 IFIP Networking Conference (IFIP Networking), 2024
Herausgeber: IEEE
DOI: 10.23919/IFIPNetworking62109.2024.10619065

Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS) (öffnet in neuem Fenster)

Autoren: Michael Savva, Iacovos Ioannou, Vasos Vassiliou
Veröffentlicht in: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024
Herausgeber: IEEE
DOI: 10.1109/DCOSS-IoT61029.2024.00062

Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of Things (öffnet in neuem Fenster)

Autoren: S. Mostafa, M. P. Mota, A.Valcarce, and M. Bennis
Veröffentlicht in: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023, ISSN 2576-6813
Herausgeber: ΙΕΕΕ
DOI: 10.1109/GLOBECOM54140.2023.10437954

DIN: A Decentralized Inexact Newton Algorithm for Consensus Optimization (öffnet in neuem Fenster)

Autoren: A. Ghalkha, C.Ben Issaid, A. Elgabli, and M. Bennis
Veröffentlicht in: ICC 2023 - IEEE International Conference on Communications, 2023, ISSN 1938-1883
Herausgeber: IEEE
DOI: 10.1109/ICC45041.2023.10278721

Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning (öffnet in neuem Fenster)

Autoren: Waqar Ali Aziz, Iacovos Ioannou, Marios Lestas, Vasos Vassiliou
Veröffentlicht in: 2024 IEEE 30th International Conference on Telecommunications (ICT), 2024
Herausgeber: IEEE
DOI: 10.1109/ICT62760.2024.10606023

Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning (öffnet in neuem Fenster)

Autoren: Tanveer Ahmad, Xue Jun Li, Muhammad Ashfaq, Michalis Savva, Iacovos Ioannou, Vasos Vassiliou
Veröffentlicht in: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024
Herausgeber: IEEE
DOI: 10.1109/DCOSS-IoT61029.2024.00065

Machine Learning Performance at the Edge: When to Offload an Inference Task (öffnet in neuem Fenster)

Autoren: O. Chukhno, G. Singh, C. Campolo, A. Molinaro, C. F. Chiasserini
Veröffentlicht in: NET4us '23: Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023, ISBN 9798400703652
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3615991.3616403

Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm (öffnet in neuem Fenster)

Autoren: A. Elbakary, C. Ben Issaid, M. Shehab, K. Seddik, T. ElBatt, M. Bennis
Veröffentlicht in: 2024 IEEE International Conference on Communications, 2024, ISSN 1938-1883
Herausgeber: IEEE
DOI: 10.1109/ICC51166.2024.10622862

Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks (öffnet in neuem Fenster)

Autoren: W. A. Aziz, I. Ioannou, M. Lestas, V. Vassiliou
Veröffentlicht in: 2023 IEEE International Conference on Communications Workshops (ICC Workshops), 2023, ISSN 2694-2941, ISBN 979-8-3503-0045-1
Herausgeber: IEEE
DOI: 10.1109/ICCWorkshops57953.2023.10283745

Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime (öffnet in neuem Fenster)

Autoren: D. Iliadis-Apostolidis, K. Manaa, M. Kadosh, I. Ioannou, V. Vassiliou, S. Kosta, J. J. Vegas Olmosa; Matty Kadosh; Iacovos Ioannou; Vasos Vassiliou; Sokol Kosta; Juan Jose Vegas Olmos
Veröffentlicht in: 2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2024, ISSN 2377-5750
Herausgeber: IEEE
DOI: 10.1109/PDP62718.2024.00040

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