A. Adibi, N. Dal Fabbro, Luca Schenato, Sanjeev Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani and Aritra Mitra, "Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling", The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningL. Ballotta, N. Dal Fabbro, G. Perin, L. Schenato, M. Rossi, G. Piro, "VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning", under revision, preprint available arXiv:2311.18741, 2024
Anonymous Federated Learning via Named-Data NetworkingA. Agiollo, E. Bardhi, M. Conti, N. Dal Fabbro, R. Lazzeretti, "Anonymous Federated Learning via Named-Data Networking", Future Generation Computer Systems, 2024
N. Dal Fabbro, A. Mitra, G. J. Pappas, "Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling", IEEE Control Systems Letters, 2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors QuantizationN. Dal Fabbro, M. Rossi, L. Schenato, S. Dey, "Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization", IEEE International Conference on Communications (ICC), Rome, Italy, 2023
A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi ChannelsF. Meneghello, N. Dal Fabbro, D. Garlisi, I. Tinnirello and M. Rossi, "A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels", IEEE Communications Magazine, 2023
Over-the-Air Federated TD LearningN. Dal Fabbro, A. Mitra, R. W. Heath, L. Schenato, G. J. Pappas, "Over-the-Air Federated TD Learning", MLSys 2023 Workshop on Resource-Constrained Learning in Wireless Networks, Miami, Florida, 2023
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharingN. Dal Fabbro, S. Dey, M. Rossi, L. Schenato (2023). "SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing", Automatica, 2023
N. Dal Fabbro, M. Rossi, G. Pillonetto, L. Schenato and G. Piro, "Model-free radio map estimation in massive MIMO systems via semi-parametric Gaussian regression," in IEEE Wireless Communications Letters, 2022
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access PointsF. Meneghello, D. Garlisi, N. Dal Fabbro, I. Tinnirello and M. Rossi, "SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points," in IEEE Transactions on Mobile Computing, 2022