Ozan Aygun, Mohammad Kazemi, Deniz Gunduz, and Tolga M. Duman, “Over-the-Air Federated Edge Learning with Energy Harvesting Devices,” IEEE GLOBECOM, Rio de Janeiro, December 2022. [pdf]

F. Wilhelmi, L. Giupponi, P. Dini, Analysis and evaluation of synchronous and asynchronous FLchain, Computer Networks, Volume 218, 2022, 109390, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2022.109390. [pdf]

F. Wilhelmi, S. Barrachina-Muñoz and P. Dini, "End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications," in IEEE Communications Letters, vol. 26, no. 10, pp. 2332-2335, Oct. 2022, doi: 10.1109/LCOMM.2022.3194561. [pdf]

E. Guerra, F. Wilhelmi, M. Miozzo and P. Dini, "The Cost of Training Machine Learning Models Over Distributed Data Sources," in IEEE Open Journal of the Communications Society, vol. 4, pp. 1111-1126, 2023, doi: 10.1109/OJCOMS.2023.3274394 [pdf]

C. Lanza, E. Angelats, M. Miozzo and P. Dini, "Urban Traffic Forecasting using Federated and Continual Learning," 2023 6th Conference on Cloud and Internet of Things (CIoT), Lisbon, Portugal, 2023, pp. 1-8, doi: 10.1109/CIoT57267.2023.10084875 [pdf]

A. Buratto, E. Guerra, M. Miozzo, P. Dini, L. Badia, “Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory”, 6th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2024), Osaka (Japan), 19-22 February 2024. [pdf]

E. Guerra, M. Miozzo and P. Dini, "Fully Decentralized Client Selection for Energy-Efficient Federated Learning," IEEE Intl Conf on Pervasive Intelligence and Computing (PiCom), Abu Dhabi, United Arab Emirates, 2023, pp. 0595-0601. [pdf]

F. Famá, C. Kalalas, S. Lagen, P. Dini, Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study, in proc. IEEE ICNC 2024, Big Island, Hawaii, US, February 2024. [pdf]

V. Perifanis et al., "Towards Energy-Aware Federated Traffic Prediction for Cellular Networks," 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), Tartu, Estonia, 2023, pp. 93-100, doi: 10.1109/FMEC59375.2023.10306017.

Roberto Pereira, Xavier Mestre, "Statistical Framework for Clustering  MU-MIMO Wireless via Second Order Statistics", 19th International Symposium on Wireless Communication Systems, Rio De Janeiro Brasil, 2024. [pdf]

Xavier Mestre, Roberto Pereira, "Deterministic Equivalent of the Log-EuclideanDistance between Sample Covariance Matrices" accepted for publication in the IEEE European Signal Processing Conference 2024, Lyon France 2024. [pdf]

N. Pavlidis, V. Perifanis, S. F. Yilmaz, F. Wilhelmi, M. Miozzo, P. S. Efraimidis, R. Koutsiamanis, P. Mulinka, P. Dini, "Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting," in IEEE Transactions on Sustainable Computing, doi: 10.1109/TSUSC.2024.3504242. [pdf]