803 citations · 6.6k across the 155 of their papers we have counts for
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Adaptive Compression in Federated Learning via Side Information
Berivan Isik, Francesco Pase, Deniz Gunduz +3
The high communication cost of sending model updates from the clients to the server is a significant bottleneck for scalable federated learning (FL). Among existing approaches, sta…
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik, Francesco Pase, Deniz Gunduz +2
One main challenge in federated learning is the large communication cost of exchanging weight updates from clients to the server at each round. While prior work has made great prog…
Rate-Constrained Remote Contextual Bandits
Francesco Pase, Deniz Gündüz, Michele Zorzi
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) problem, in which a group of agents are solving the same contextual multi-armed bandit (CMAB) problem. Howeve…
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
Francesco Pase, Marco Giordani, Michele Zorzi
Federated learning (FL) has recently emerged as an attractive decentralized solution for wireless networks to collaboratively train a shared model while keeping data localized. As…
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini, Federico Mason, Francesco Pase +4
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (UAVs) in monitoring and remote area surveillance applications has become widespread thanks to the price redu…