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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Veröffentlicht in:	International journal of parallel, emergent and distributed systems Jg. 33; H. 6; S. 589 - 607
Hauptverfasser:	Zhao, Liang, Song, Wen-Zhan, Ye, Xiaojing, Gu, Yujie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 02.11.2018 Taylor & Francis Ltd
Schlagworte:	Asynchronous algorithm big data Communication Data exchange decentralized learning Machine learning Mathematical models Networks Production planning sensor network Sensors
ISSN:	1744-5760, 1744-5779
Online-Zugang:	Volltext
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