Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point. - Francesca Meneghello 001; Domenico Garlisi; Nicolò Dal Fabbro; Ilenia Tinnirello; Michele Rossi (CoRR, 2021)

A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing. - Nicolò Dal Fabbro; Subhrakanti Dey; Michele Rossi; Luca Schenato 001 (CoRR, 2022)

Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression. - Nicolò Dal Fabbro; Michele Rossi; Gianluigi Pillonetto; Luca Schenato 001; Giuseppe Piro (IEEE Wirel. Commun. Lett., 2022)

Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization. - Nicolò Dal Fabbro; Michele Rossi; Luca Schenato 001; Subhrakanti Dey (ICC, 2023)

Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling. - Nicolò Dal Fabbro; Aritra Mitra; George J. Pappas (IEEE Control. Syst. Lett., 2023)

CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels. - Francesca Meneghello 001; Nicolò Dal Fabbro; Domenico Garlisi; Ilenia Tinnirello; Michele Rossi (IEEE DataPort, 2023)

A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels. - Francesca Meneghello 001; Nicolò Dal Fabbro; Domenico Garlisi; Ilenia Tinnirello; Michele Rossi (IEEE Commun. Mag., 2023)

SHARP: Environment and Person Independent Activity Recognition With Commodity IEEE 802.11 Access Points. - Francesca Meneghello 001; Domenico Garlisi; Nicolò Dal Fabbro; Ilenia Tinnirello; Michele Rossi (IEEE Trans. Mob. Comput., 2023)

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. - Arman Adibi; Nicolò Dal Fabbro; Luca Schenato 001; Sanjeev R. Kulkarni; H. Vincent Poor; George J. Pappas; Hamed Hassani; Aritra Mitra (AISTATS, 2024)

Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. - Nicolò Dal Fabbro; Arman Adibi; Aritra Mitra; George J. Pappas (ACC, 2024)

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. - Nicolò Dal Fabbro; Arman Adibi; H. Vincent Poor; Sanjeev R. Kulkarni; Aritra Mitra; George J. Pappas (CDC, 2024)

Conformal Risk Minimization with Variance Reduction. - Sima Noorani; Orlando Romero; Nicolò Dal Fabbro; Hamed Hassani; George J. Pappas (CoRR, 2024)

SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing. - Nicolò Dal Fabbro; Subhrakanti Dey; Michele Rossi; Luca Schenato 001 (Autom., 2024)

Anonymous Federated Learning via Named-Data Networking. - Andrea Agiollo; Enkeleda Bardhi; Mauro Conti; Nicolò Dal Fabbro; Riccardo Lazzeretti (Future Gener. Comput. Syst., 2024)

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning. - Luca Ballotta; Nicolò Dal Fabbro; Giovanni Perin; Luca Schenato 001; Michele Rossi; Giuseppe Piro (IEEE Trans. Veh. Technol., 2025)