71 citations · 72 across the 5 of their papers we have counts for
5 papers
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
Francesco Pase, Marco Giordani, Giampaolo Cuozzo +4
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as th…
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…
Remote Contextual Bandits
Francesco Pase, Deniz Gunduz, Michele Zorzi
We consider a remote contextual multi-armed bandit (CMAB) problem, in which the decision-maker observes the context and the reward, but must communicate the actions to be taken by…
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…