LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

Zhang, Z; Wu, L; Ma, C; Li, Jianxin; Wang, J; Wang, Q; Yu, S

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

journal contribution

posted on 2023-02-20, 22:17 authored by Z Zhang, L Wu, C Ma, Jianxin Li, J Wang, Q Wang, S Yu

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

History

Journal

IEEE Transactions on Information Forensics and Security

Volume

18

Pagination

365-379

Publisher DOI

https://doi.org/10.1109/TIFS.2022.3221899

ISSN

1556-6013

eISSN

1556-6021

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000905076700023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publication URL

http://dx.doi.org/10.1109/tifs.2022.3221899

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Keywords

Science & Technology Technology Computer Science, Theory & Methods Engineering, Electrical & Electronic Computer Science Engineering Federated learning edge computing privacy-preserving Byzantine-robustness data privacy BLOCKCHAIN

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LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

History

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