Nicolò Dal Fabbro

According to our database, Nicolò Dal Fabbro authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

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

DASA: Delay-Adaptive Multi-Agent Stochastic Approximation.

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

CoRR, 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

CoRR, 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

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

CoRR, 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