Efficient privacy-preserving federated learning under dishonest-majority setting - Details

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[ 1 ] [Miao, Yinbin]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
[ 2 ] [Kuang, Da]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
[ 3 ] [Li, Xinghua]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
[ 4 ] [Ma, Jianfeng]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
[ 5 ] [Leng, Tao]Sichuan Police Coll, Intelligent Policing Key Lab Sichuan Prov, Luzhou 646000, Peoples R China
[ 6 ] [Leng, Tao]Chinese Acad Sci, Inst Informat Engn, Beijing 100095, Peoples R China
[ 7 ] [Leng, Tao]Univ Chinese Acad Sci, Sch Cyber Secur, Beijing 100049, Peoples R China
[ 8 ] [Liu, Ximeng]Fuzhou Univ, Key Lab Informat Secur Network Syst, Fuzhou 350108, Peoples R China

Reprint 's Address：

[Leng, Tao]Sichuan Police Coll, Intelligent Policing Key Lab Sichuan Prov, Luzhou 646000, Peoples R China;;[Leng, Tao]Chinese Acad Sci, Inst Informat Engn, Beijing 100095, Peoples R China;;[Leng, Tao]Univ Chinese Acad Sci, Sch Cyber Secur, Beijing 100049, Peoples R China

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lengtao@iie.ac.cn

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SCIENCE CHINA-INFORMATION SCIENCES

ISSN： 1674-733X

CN： 11-5847/TP

Year： 2024

Issue： 5

Volume： 67

7 . 3 0 0

JCR@2023

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WoS CC Cited Count： 1

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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