Energy Efficient Federated Learning Over Wireless Communication Networks

In this paper, the problem of energy efficient transmission and computation resource allocation for federated learning (FL) over wireless communication networks is investigated. In the considered model, each user exploits limited local computational resources to train a local FL model with its colle...

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Vydané v:	IEEE transactions on wireless communications Ročník 20; číslo 3; s. 1935 - 1949
Hlavní autori:	Yang, Zhaohui, Chen, Mingzhe, Saad, Walid, Hong, Choong Seon, Shikh-Bahaei, Mohammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Bandwidths Communication networks Communications networks Completion time Computational modeling Data models Energy budget Energy consumption energy efficiency Federated learning Iterative algorithms Iterative methods Machine learning Minimization Network latency Optimization Power control Resource allocation Resource management Training Wireless communication Wireless communications Wireless networks Wireless sensor networks
ISSN:	1536-1276, 1558-2248
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