SF-CABD: Secure Byzantine fault tolerance federated learning on Non-IID data

Author:

Lin Xiaoci,Li YanbinORCID,Xie Xiaojun,Ding Yu,Wu Xuehui,Ge Chunpeng

Publisher

Elsevier BV

Reference61 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Scaffold: Stochastic controlled averaging for federated learning;Praneeth Karimireddy,2019

3. Byzantine-robust variance-reduced federated learning over distributed non-iid data;Peng;Inform. Sci.,2022

4. Z. Qin, S. Deng, M. Zhao, X. Yan, FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity, in: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, pp. 1954–1964.

5. Robust federated learning in a heterogeneous environment;Ghosh,2019

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