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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

邮发代号 80-970

2019 Impact Factor: 1.275

Frontiers of Computer Science  2024, Vol. 18 Issue (5): 185348   https://doi.org/10.1007/s11704-024-3767-z
  本期目录
FedTop: a constraint-loosed federated learning aggregation method against poisoning attack
Che WANG1, Zhenhao WU1, Jianbo GAO1,2(), Jiashuo ZHANG1, Junjie XIA3, Feng GAO3, Zhi GUAN4, Zhong CHEN1,2
1. School of Computer Science, Peking University, Beijing 100871, China
2. Peking University Chongqing Research Institute of Big Data, Chongqing 401329, China
3. China Unicom, Beijing 100033, China
4. National Engineering Research Center for Software Engineering, Peking University, Beijing 100871, China
 全文: PDF(1870 KB)   HTML
收稿日期: 2023-09-25      出版日期: 2024-06-14
Corresponding Author(s): Jianbo GAO   
 引用本文:   
. [J]. Frontiers of Computer Science, 2024, 18(5): 185348.
Che WANG, Zhenhao WU, Jianbo GAO, Jiashuo ZHANG, Junjie XIA, Feng GAO, Zhi GUAN, Zhong CHEN. FedTop: a constraint-loosed federated learning aggregation method against poisoning attack. Front. Comput. Sci., 2024, 18(5): 185348.
 链接本文:  
https://academic.hep.com.cn/fcs/CN/10.1007/s11704-024-3767-z
https://academic.hep.com.cn/fcs/CN/Y2024/V18/I5/185348
  
Aggregation methodsMNISTCIFAR-10YELP
IIDNon-IIDIIDNon-IIDIIDNon-IID
FedAvg [6]1.5501.5601.2831.3421.0811.156
Median [3]1.5611.5861.2821.3071.0991.120
Multi-Krum [7]1.5841.6591.3041.3861.1201.775
Zeno [5]1.5521.5671.3241.3941.1021.182
FedTop1.5481.5640.9431.0691.0891.118
Tab.1  
Aggregation methods Scale up Mix Scale down
3 8 12 3 8 12 3 8 12
FedAvg [6] 2.021 2.056 2.045 1.968 2.027 2.033 1.779 2.078 2.235
Median [3] 1.695 2.046 2.089 1.657 1.998 2.085 1.656 2.245 2.250
Multi-Krum [7] 1.702 2.136 2.129 1.713 2.010 2.116 1.725 2.260 2.268
Zeno [5] 1.610 2.062 2.055 1.620 1.817 2.024 1.851 2.238 2.279
FedTop 1.597 1.576 1.624 1.598 1.585 1.579 1.581 1.589 1.602
Tab.2  
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9 A Krizhevsky . Learning multiple layers of features from tiny images. Toronto: University of Toronto, 2009
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