Wireless Resource Efficient Distributed Learning with Deep Joint Source-Channel Coding

Distributed learning methods such as federated learning and decentralized federated learning are promising approaches to constructing high-accurate models through collaboration among client nodes. In common distributed learning, each node continuously executes model training and sharing processes to...

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Veröffentlicht in:	IEEE Globecom Workshops S. 1 - 6
Hauptverfasser:	Matsumura, Issa, Suto, Katsuya
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.12.2024
Schlagworte:	Accuracy Computational modeling Computer aided instruction Data models deep joint source-channel coding deep learning Distance learning Distributed learning Encoding Noise Quantization (signal) Symbols Wireless communication wireless resource efficiency
ISSN:	2166-0077
Online-Zugang:	Volltext
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