2 papers
eess.SP2025
Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off
Andriy Enttsel, Weichen Wang, Mauro Mangia +2
Joint source-channel coding is a compelling paradigm when low-latency and low-complexity communication is required. This work proposes a theoretical framework that integrates class…
cs.LG2024
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…