Byzantine-robust federated learning over Non-IID data

Byzantine-robust federated learning over Non-IID data

The malicious attacks of Byzantine nodes in federated learning was studied over the non-independent and identically distributed dataset , and a privacy protection robust gradient aggregation algorithm was proposed.A reference gradient was designed to identify “poor quality” shared gradients in model...

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Bibliographic Details
Main Authors: Xindi MA, Qinghua LI, Qi JIANG, Zhuo MA, Sheng GAO, Youliang TIAN, Jianfeng MA
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-06-01
Series:Tongxin xuebao
Subjects:
federated learning
Byzantine attack
Non-IID
privacy protection
homomorphic encryption
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023115/
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