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06/22/2023
Communication-Efficient Federated Learning through Importance Sampling
The high communication cost of sending model updates from the clients to...
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05/14/2023
Semantic Communication of Learnable Concepts
We consider the problem of communicating a sequence of concepts, i.e., u...
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02/24/2023
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
This paper explores the issue of enabling Ultra-Reliable Low-Latency Com...
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01/14/2023
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
The coordination of robotic swarms and the remote wireless control of in...
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11/22/2022
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
This paper addresses the problem of enabling inter-machine Ultra-Reliabl...
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09/30/2022
Sparse Random Networks for Communication-Efficient Federated Learning
One main challenge in federated learning is the large communication cost...
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04/26/2022
Rate-Constrained Remote Contextual Bandits
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) p...
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02/10/2022
Remote Contextual Bandits
We consider a remote contextual multi-armed bandit (CMAB) problem, in wh...
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04/01/2021
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
Federated learning (FL) has recently emerged as an attractive decentrali...
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03/08/2021
