Node selection method in federated learning based on deep reinforcement learning

Node selection method in federated learning based on deep reinforcement learning

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To cope with the impact of different device computing capabilities and non-independent uniformly distributed data on federated learning performance, and to efficiently schedule terminal devices to complete model aggregation, a method of node selection based on deep reinforcement learning was propose...

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Bibliographic Details
Main Authors:	Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG
Format:	Article
Language:	zho
Published:	Editorial Department of Journal on Communications 2021-06-01
Series:	Tongxin xuebao
Subjects:	federated learning model aggregation node selection deep reinforcement learning accuracy
Online Access:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021111/
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