文献
J-GLOBAL ID:202102217544275819
整理番号:21A3312252
同型再暗号化による医療診断におけるプライバシー保護連合学習【JST・京大機械翻訳】
Privacy-Preserving federated learning in medical diagnosis with homomorphic re-Encryption
著者 (8件):
Ku Hanchao
(School of Computers, Hubei University of Technology, Wuhan 430068, China)
,
Susilo Willy
(School of Computers, Hubei University of Technology, Wuhan 430068, China)
,
Susilo Willy
(School of Computing and Information Technology, University of Wollongong, Wollongong, USW 2522, Australia)
,
Zhang Yudi
(School of Computers, Hubei University of Technology, Wuhan 430068, China)
,
Zhang Yudi
(School of Computing and Information Technology, University of Wollongong, Wollongong, USW 2522, Australia)
,
Liu Wenfen
(School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China)
,
Zhang Mingwu
(School of Computers, Hubei University of Technology, Wuhan 430068, China)
,
Zhang Mingwu
(School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China)
資料名:
Computer Standards & Interfaces
(Computer Standards & Interfaces)
巻:
80
ページ:
Null
発行年:
2022年
JST資料番号:
H0892A
ISSN:
0920-5489
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)