6G-DALI: 6G DAta and ML operations automation via an end-to-end AI framework

Informazioni relative al progetto

6G-DALI

ID dell’accordo di sovvenzione: 101192750

DOI

10.3030/101192750

Data della firma CE 6 Dicembre 2024

Data di avvio 1 Gennaio 2025

Data di completamento 31 Dicembre 2027

Finanziato da

• Digital, Industry and Space

Costo totale

€ 6 223 736,25

Contributo UE

€ 5 826 453,13

Coordinato da

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (6)

ado: a Python framework for computational experimentation and benchmarking

Autori: Michael A. Johnston, Alessandro Pomponio
Pubblicato in: Journal of Open Source Software, Numero 11, 2026, ISSN 2475-9066
Editore: The Open Journal
DOI: 10.21105/JOSS.10304

EUROCOMPLY: Enabling zero-touch AI compliance auditing via LLM-based agentic AI

Autori: Mazene Ameur, Bouziane Brik, and Adlen Ksentini
Pubblicato in: IEEE Communications Magazine, 2025, ISSN 1558-1896
Editore: IEEE
DOI: 10.1109/MCOM.001.2500366

Dual Self-Attention is What You Need for Model Drift Detection in 6G Networks

Autori: Mazene Ameur, Bouziane Brik, Adlen Ksentini
Pubblicato in: IEEE Transactions on Machine Learning in Communications and Networking, Numero 3, 2025, ISSN 2831-316X
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TMLCN.2025.3576727

Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow

Autori: Yuandou Wang, Zhiming Zhao
Pubblicato in: Blockchain: Research and Applications, 2025, ISSN 2096-7209
Editore: Elsevier BV
DOI: 10.1016/J.BCRA.2025.100403

TranSQL ⁺ : Serving Large Language Models with SQL on Low-Resource Hardware

Autori: Wenbo Sun, Qiming Guo, Wenlu Wang, Rihan Hai
Pubblicato in: Proceedings of the ACM on Management of Data, Numero 3, 2025, ISSN 2836-6573
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3769836

WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models

Autori: Aditya Shankar, Lydia Chen, Arie van Deursen, Rihan Hai
Pubblicato in: Proceedings of the ACM on Management of Data, Numero 3, 2025, ISSN 2836-6573
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3769842

Conference proceedings (15)

Data Augmentation and Attention for massive MIMO-based Indoor Localization in Changing Environments

Autori: Luisa Schuhmacher, Hazem Sallouha, Ihsane Gryech, Sofie Pollin
Pubblicato in: IEEE International Conference on Communications (ICC) 2026, 2026
Editore: Arxiv

Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion

Autori: Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Chen
Pubblicato in: ICLR 2026, The Fourteenth International Conference on Learning Representations, 2026
Editore: Open Review
DOI: 10.48550/ARXIV.2602.07875

Unlocking the Value of 6G Datasets: Business Models, Market Potential, and API-Driven Monetization for Telco Operators

Autori: Michalis Rantopoulos, Ioannis Chochliouros
Pubblicato in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2025
Editore: Zenodo

Towards Optimizing RL Workload Placement at the Cloud-Edge Continuum in 6G Networks: A Scaled RL Framework

Autori: Navideh Ghafouri, John Vardakas, Christos Verikoukis
Pubblicato in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.18875434

Adapt but Do Not Forget: Towards Enhancing Drift Handling in 6G Networks

Autori: Mazene Ameur, Bouziane Brik, Adlen Ksentini
Pubblicato in: 2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), 2025
Editore: IEEE
DOI: 10.1109/ICMLCN64995.2025.11140130

Initial DataOps Architecture for 6G-DALI  

Autori: Vasiliki Parousidou; Eleni Zarogianni; Vasileios Theodorou
Pubblicato in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2025
Editore: Zenodo

Towards Secure and Interoperable Data Spaces for 6G: The 6G-DALI Approach

Autori: Dimitrios Amaxilatis, Themistoklis Sarantakos, Nikolaos Tsironis, Vasileios Theodorou, Christos Verikoukis
Pubblicato in: 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), 2025, ISSN 2832-2231
Editore: IEEE
DOI: 10.1109/NFV-SDN66355.2025.11349476

6G-DALI: an End-to-End AI Framework for Automating Data and ML Operations

Autori: Marco Ruta, Giacomo Bernini, Christos Verikoukis, Vassileios Theodorou, Takai Eddine Kennouche, Adlen Ksentini, Luisa Schuhmacher, Konstantinos Ramantas, Dimitrios Amaxilatis, Carmela Occhipinti, Rihan Hai
Pubblicato in: Zenodo, 2025, ISSN 2575-4912
DOI: 10.5281/ZENODO.15736569

Dynamic Intelligence Placement for Real-Time Data Analytics in Smart Buildings

Autori: Dimitrios Amaxilatis, Jhofre Ojeda, Kostas Ramantas, Themistoklis Sarantakos, Nikolaos Tsironis, Christos Verikoukis
Pubblicato in: 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2026, ISSN 2766-8576
Editore: IEEE
DOI: 10.1109/PERCOMWORKSHOPS68308.2026.11585252

On Leveraging Digital Twins for Training and Validation of Reinforcement Learning in 6G

Autori: Mahdi Sharara, Chris Murphy, Sameh Yamany, Agustín Pozuelo
Pubblicato in: 2026 IEEE International Conference on Communications Workshops (ICC Workshops), 2026, ISSN 2694-2941
Editore: IEEE
DOI: 10.1109/ICCWORKSHOPS63917.2026.11586706

Sampling Where It Matters: Predicting LLM Serving Performance

Autori: Emile Aydar, Christian Pinto, Srikumar Venugopal, Dimitris Chatzopoulos
Pubblicato in: Proceedings of the Sixth European Workshop on Machine Learning and Systems, 2026
Editore: ACM
DOI: 10.1145/3805621.3807633

Applying Value-based and Social Acceptance of Technology methodologies in the development of 6G Proof-of-Concepts

Autori: Luigi Briguglio,Lucas Pereira Carwile,Carmela Occhipinti,Dr. Francesca Morpurgo
Pubblicato in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.20120184

Uncertainty-Aware Zero-Touch Drift Management for Trustworthy DRL in 5G/6G Networks

Autori: Mazene Ameur, Bouziane Brik, Adlen Ksentini
Pubblicato in: IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, 2026, ISSN 2641-9874
Editore: IEEE
DOI: 10.1109/INFOCOM59046.2026.11571629

A Building-level Digital Twin Approach to improve Consumption Data Imputation in Smart Water Grids

Autori: Themistoklis Sarantakos, Dimitrios Amaxilatis, Georgios Mylonas, Ioannis Chatzigiannakis
Pubblicato in: 2026 IFIP Networking Conference (IFIP Networking), 2026, ISSN 1861-2288
Editore: IEEE
DOI: 10.23919/IFIPNETWORKING70592.2026.11579003

Foundation for Data Governance in 6G 

Autori: Ignacio Dominguez Martinez-Casanueva,Lucia Cabanillas Rodrıguez,Diego Lopez
Pubblicato in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.19888040