Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning

One of the main focus in federated learning (FL) is the communication efficiency since a large number of participating edge devices send their updates to the edge server at each round of the model training. Existing works reconstruct each model update from edge devices and implicitly assume that the...

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Vydané v:	2021 IEEE International Symposium on Information Theory (ISIT) s. 2161 - 2166
Hlavní autori:	Zhang, Naifu, Tao, Meixia, Wang, Jia
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.07.2021
Predmet:	Collaborative work Estimation Rate-distortion Redundancy Source coding Training Upper bound
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