文献
J-GLOBAL ID:202202279821117683
整理番号:22A1085539
BAFL:ブロックチェーンベースの非同期連合学習フレームワーク【JST・京大機械翻訳】
BAFL: A Blockchain-Based Asynchronous Federated Learning Framework
著者 (6件):
Feng Lei
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
,
Zhao Yiqi
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
,
Guo Shaoyong
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
,
Qiu Xuesong
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
,
Li Wenjing
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
,
Yu Peng
(State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)
資料名:
IEEE Transactions on Computers
(IEEE Transactions on Computers)
巻:
71
号:
5
ページ:
1092-1103
発行年:
2022年
JST資料番号:
C0233A
ISSN:
0018-9340
CODEN:
ICTOB4
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)