Asynchronous broadcast-based decentralized learning in sensor networks

In this paper, we study the problem of decentralized learning in sensor networks in which local learners estimate and reach consensus to the quantity of interest inferred globally while communicating only with their immediate neighbours. The main challenge lies in reducing the communication cost in...

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Vydané v:	International journal of parallel, emergent and distributed systems Ročník 33; číslo 6; s. 589 - 607
Hlavní autori:	Zhao, Liang, Song, Wen-Zhan, Ye, Xiaojing, Gu, Yujie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 02.11.2018 Taylor & Francis Ltd
Predmet:	Asynchronous algorithm big data Communication Data exchange decentralized learning Machine learning Mathematical models Networks Production planning sensor network Sensors
ISSN:	1744-5760, 1744-5779
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