Node selection method in federated learning based on deep reinforcement learning

Node selection method in federated learning based on deep reinforcement learning

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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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021111/

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