FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning

This paper investigates efficient distributed training of a Federated Learning (FL) model over a wireless network of wireless devices. The communication iterations of the distributed training algorithm may be substantially deteriorated or even blocked by the effects of the devices' background t...

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Vydané v:	IEEE transactions on wireless communications Ročník 23; číslo 9; s. 11076 - 11093
Hlavní autori:	Mahmoudi, Afsaneh, Ghadikolaei, Hossein S., Barros Da Silva, Jose Mairton, Fischione, Carlo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Collision avoidance Communication communication efficiency communication protocols Communications traffic Computation Computer Science with specialization in Computer Communication cost-efficient algorithm Costs Criteria Datavetenskap med inriktning mot datorkommunikation Federated learning Frequency division multiple access latency Machine learning Machine learning algorithms Network latency Optimization Orthogonal Frequency Division Multiplexing Performance degradation Protocols resource allocation Resource management Traffic congestion Training unfolding federated learning Wireless communications Wireless networks
ISSN:	1536-1276, 1558-2248, 1558-2248
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