Nicolò Dal Fabbro

According to our database, Nicolò Dal Fabbro authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning.

John Gardiner, Orlando Romero, Brendan Tivnan, Nicolò Dal Fabbro, George J. Pappas

CoRR, February, 2026

2025

Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning.

Nicolò Dal Fabbro, Milad Mesbahi, Renato Mendes, João Borges de Sousa, George J. Pappas

CoRR, October, 2025

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning.

Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin, Luca Schenato, Michele Rossi, Giuseppe Piro

IEEE Trans. Veh. Technol., February, 2025

2024

Anonymous Federated Learning via Named-Data Networking.

Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti

Future Gener. Comput. Syst., March, 2024

SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing.

Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi, Luca Schenato

Autom., February, 2024

Pushing the Boundaries of Federated Learning: Super-Linear Convergence and Reinforcement Learning Over Wireless.

Nicolò Dal Fabbro

PhD thesis, 2024

Conformal Risk Minimization with Variance Reduction.

Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas

CoRR, 2024

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.

Nicolò Dal Fabbro, Arman Adibi, H. Vincent Poor, Sanjeev R. Kulkarni, Aritra Mitra, George J. Pappas

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Finite- Time Analysis of Asynchronous Multi-Agent TD Learning.

Nicolò Dal Fabbro, Arman Adibi, Aritra Mitra, George J. Pappas

Proceedings of the American Control Conference, 2024

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.

Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

SHARP: Environment and Person Independent Activity Recognition With Commodity IEEE 802.11 Access Points.

Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, Michele Rossi

IEEE Trans. Mob. Comput., October, 2023

A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels.

Francesca Meneghello, Nicolò Dal Fabbro, Domenico Garlisi, Ilenia Tinnirello, Michele Rossi

IEEE Commun. Mag., September, 2023

CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels.

Francesca Meneghello, Nicolò Dal Fabbro, Domenico Garlisi, Ilenia Tinnirello, Michele Rossi

Dataset, February, 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

Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization.

Nicolò Dal Fabbro, Michele Rossi, Luca Schenato, Subhrakanti Dey

Proceedings of the IEEE International Conference on Communications, 2023

2022

Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression.

Nicolò Dal Fabbro, Michele Rossi, Gianluigi Pillonetto, Luca Schenato, Giuseppe Piro

IEEE Wirel. Commun. Lett., 2022

A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing.

Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi, Luca Schenato

CoRR, 2022

2021

Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point.

Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, Michele Rossi

CoRR, 2021