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

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[ 1 ] [Miao Y.]School of Cyber Engineering, Xidian University, Xi’an, 710071, China
[ 2 ] [Kuang D.]School of Cyber Engineering, Xidian University, Xi’an, 710071, China
[ 3 ] [Li X.]School of Cyber Engineering, Xidian University, Xi’an, 710071, China
[ 4 ] [Leng T.]Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College, Luzhou, 646000, China
[ 5 ] [Leng T.]Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100085, China
[ 6 ] [Leng T.]School of Cyber Security, University of Chinese Academy of Sciences, Beijing, 100049, China
[ 7 ] [Liu X.]Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou, 350108, China
[ 8 ] [Ma J.]School of Cyber Engineering, Xidian University, Xi’an, 710071, China

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Science China Information Sciences

ISSN： 1674-733X

Year： 2024

Issue： 5

Volume： 67

7 . 3 0 0

JCR@2023

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SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

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