71 citations · 85 across the 12 of their papers we have counts for
12 papers
Effective Communication with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2
The remote wireless control of industrial systems is one of the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that need to b…
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Francesco Pase, Marco Giordani, Sara Cavallero +4
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains. However,…
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…
Semantic Communication of Learnable Concepts
Francesco Pase, Szymon Kobus, Deniz Gunduz +1
We consider the problem of communicating a sequence of concepts, i.e., unknown and potentially stochastic maps, which can be observed only through examples, i.e., the mapping rules…
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
Sara Cavallero, Nicole Sarcone Grande, Francesco Pase +4
This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) I…
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2
The coordination of robotic swarms and the remote wireless control of industrial systems are among the major use cases for 5G and beyond systems: in these cases, the massive amount…
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…
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…
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…