1 code implementation • 29 Jan 2024 • Pietro Talli, Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi
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 be shared over the wireless medium may overload even high-capacity connections.
no code implementations • 21 Nov 2023 • Francesco Pase, Marco Giordani, Sara Cavallero, Malte Schellmann, Josef Eichinger, Roberto Verdone, Michele Zorzi
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains.
1 code implementation • 22 Jun 2023 • Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
The high communication cost of sending model updates from the clients to the server is a significant bottleneck for scalable federated learning (FL).
no code implementations • 14 May 2023 • Francesco Pase, Szymon Kobus, Deniz Gunduz, Michele Zorzi
The transmitter applies a learning algorithm to the available examples, and extracts knowledge from the data by optimizing a probability distribution over a set of models, i. e., known functions, which can better describe the observed data, and so potentially the underlying concepts.
no code implementations • 14 Jan 2023 • Pietro Talli, Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi
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 amounts of sensory information that needs to be shared over the wireless medium can overload even high-capacity connections.
no code implementations • 22 Nov 2022 • Francesco Pase, Marco Giordani, Giampaolo Cuozzo, Sara Cavallero, Joseph Eichinger, Roberto Verdone, Michele Zorzi
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks.
1 code implementation • 30 Sep 2022 • Berivan Isik, Francesco Pase, Deniz Gunduz, Tsachy Weissman, Michele Zorzi
At the end of the training, the final model is a sparse network with random weights -- or a subnetwork inside the dense random network.
no code implementations • 26 Apr 2022 • 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.
no code implementations • 10 Feb 2022 • 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 the agents over a rate-limited communication channel.
no code implementations • 29 Sep 2021 • 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 the agents over a rate-limited communication channel.
no code implementations • 1 Apr 2021 • 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.
no code implementations • 8 Mar 2021 • Federico Venturini, Federico Mason, Francesco Pase, Federico Chiariotti, Alberto Testolin, Andrea Zanella, Michele Zorzi
The proposed framework relies on the possibility for the UAVs to exchange some information through a communication channel, in order to achieve context-awareness and implicitly coordinate the swarm's actions.