首页|Efficient privacy-preserving federated learning under dishonest-majority setting

Efficient privacy-preserving federated learning under dishonest-majority setting

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Yinbin MIAO、Da KUANG、Xinghua LI、Tao LENG、Ximeng LIU、Jianfeng MA

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School of Cyber Engineering,Xidian University,Xi'an 710071,China

Intelligent Policing Key Laboratory of Sichuan Province,Sichuan Police College,Luzhou 646000,China

Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100085,China

School of Cyber Security,University of Chinese Academy of Sciences,Beijing 100049,China

Key Laboratory of Information Security of Network Systems,Fuzhou University,Fuzhou 350108,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaKey Research and Development Program of ShaanxiShaanxi Fundamental Science Research Project for Mathematics and PhysicsOpening Project of Intelligent Policing Key Laboratory of Sichuan ProvinceOpen Fund of Key Laboratory of Computing Power Network and Information Security

6207236162125205U23A203032022GY-01922JSY019ZNJW2023KFMS0022023ZD020

2024

10.1007/s11432-023-3977-9

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子：0.715
ISSN：1674-733X
年,卷(期)：2024.67(5)
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