Backdoor defense method in federated learning based on contrastive training

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Papers | 更新时间：2024-05-31

- Backdoor defense method in federated learning based on contrastive training
- Journal on Communications Vol. 45, Issue 3, Pages: 182-196(2024)
- 作者机构：
  
  1. 扬州大学信息工程学院，江苏扬州 225127
  2. 中国民航大学民航飞联网重点实验室，天津 300300
  3. 南京航空航天大学计算机科学与技术学院，江苏南京 211106
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62206238);The Basic Research Program Natural Science Foundation of Jiangsu Province(BK20220562);The Natural Science Foundation of Jiangsu Higher Education Institutions(22KJB520010);The China Postdoctoral Science Foundation(2023M732985);The Open Fund for the Key Laboratory of Flying Internet at Civil Aviation University of China(MHFLW202304);The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX23_3534)
- DOI：10.11959/j.issn.1000-436x.2024063
  CLC： TP393
- Online First：2024-03，
  
  Published：25 March 2024
- 稿件说明：
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Jiale ZHANG, Chengcheng ZHU, Xiang CHENG, et al. Backdoor defense method in federated learning based on contrastive training[J]. Journal on Communications, 2024, 45(3): 182-196.
DOI：

Jiale ZHANG, Chengcheng ZHU, Xiang CHENG, et al. Backdoor defense method in federated learning based on contrastive training[J]. Journal on Communications, 2024, 45(3): 182-196. DOI： 10.11959/j.issn.1000-436x.2024063.

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