Nicolò Dal Fabbro

24 papers A 1C 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning. CoRR John Gardiner, Orlando Romero, Brendan Tivnan, Nicolò Dal Fabbro, George J. Pappas
2025	J	`jnl`	Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning. CoRR Nicolò Dal Fabbro, Milad Mesbahi, Renato Mendes, João Borges de Sousa, George J. Pappas
2025	J	`jnl`	VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning. IEEE Trans. Veh. Technol. Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin, Luca Schenato, Michele Rossi, Giuseppe Piro
2024	J	`jnl`	Anonymous Federated Learning via Named-Data Networking. Future Gener. Comput. Syst. Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
2024	J	`jnl`	Conformal Risk Minimization with Variance Reduction. CoRR Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas
2024	—	`conf`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CDC Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	J	`jnl`	DASA: Delay-Adaptive Multi-Agent Stochastic Approximation. CoRR Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas
2024	C	`conf`	Finite- Time Analysis of Asynchronous Multi-Agent TD Learning. ACC Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	J	`jnl`	Finite-Time Analysis of Asynchronous Multi-Agent TD Learning. CoRR Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas
2024	—	`—`	Pushing the Boundaries of Federated Learning: Super-Linear Convergence and Reinforcement Learning Over Wireless. Nicolò Dal Fabbro
2024	J	`jnl`	SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing. Autom. Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi, Luca Schenato
2024	A	`conf`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2023	J	`jnl`	A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels. IEEE Commun. Mag. Francesca Meneghello, Nicolò Dal Fabbro, Domenico Garlisi, Ilenia Tinnirello, Michele Rossi
2023	J	`jnl`	A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels. CoRR Francesca Meneghello, Nicolò Dal Fabbro, Domenico Garlisi, Ilenia Tinnirello, Michele Rossi
2023	J	`jnl`	Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling. IEEE Control. Syst. Lett. Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
2023	J	`jnl`	Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling. CoRR Nicolò Dal Fabbro, Aritra Mitra, George J. Pappas
2023	—	`conf`	Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization. ICC Nicolò Dal Fabbro, Michele Rossi, Luca Schenato, Subhrakanti Dey
2023	J	`jnl`	Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization. CoRR Nicolò Dal Fabbro, Michele Rossi, Luca Schenato, Subhrakanti Dey
2023	J	`jnl`	SHARP: Environment and Person Independent Activity Recognition With Commodity IEEE 802.11 Access Points. IEEE Trans. Mob. Comput. Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, Michele Rossi
2023	J	`jnl`	VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning. CoRR Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin, Luca Schenato, Michele Rossi, Giuseppe Piro
2022	J	`jnl`	A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing. CoRR Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi, Luca Schenato
2022	J	`jnl`	Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression. IEEE Wirel. Commun. Lett. Nicolò Dal Fabbro, Michele Rossi, Gianluigi Pillonetto, Luca Schenato, Giuseppe Piro
2021	J	`jnl`	Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point. CoRR Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, Michele Rossi