Secure Byzantine resilient federated learning based on multi-party computation

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Papers | 更新时间：2025-03-09

- Secure Byzantine resilient federated learning based on multi-party computation
- Journal on Communications Vol. 46, Issue 2, Pages: 108-122(2025)
- 作者机构：
  
  1.贵州大学计算机科学与技术学院，贵州贵阳 550025
  2.贵州大学网络与信息化管理中心，贵州贵阳 550025
  3.贵州大学公共大数据国家重点实验室，贵州贵阳 550025
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62462012;62272123)
- DOI：10.11959/j.issn.1000-436x.2025023
  CLC： TP18
- Received：23 October 2024，
  
  Revised：2025-01-23，
  
  Published：25 February 2025
- 稿件说明：
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高鸿峰,黄浩,田有亮.基于多方计算的安全拜占庭弹性联邦学习[J].通信学报,2025,46(02):108-122.

GAO Hongfeng,HUANG Hao,TIAN Youliang.Secure Byzantine resilient federated learning based on multi-party computation[J].Journal on Communications,2025,46(02):108-122.
高鸿峰,黄浩,田有亮.基于多方计算的安全拜占庭弹性联邦学习[J].通信学报,2025,46(02):108-122. DOI： 10.11959/j.issn.1000-436x.2025023.

GAO Hongfeng,HUANG Hao,TIAN Youliang.Secure Byzantine resilient federated learning based on multi-party computation[J].Journal on Communications,2025,46(02):108-122. DOI： 10.11959/j.issn.1000-436x.2025023.

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