Defending against model poisoning attack in federated learning: A variance-minimization approach | NSF Public Access Repository

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Citation Details

Defending against model poisoning attack in federated learning: A variance-minimization approach

Award ID(s):: 2006998 2308761

PAR ID:: 10539474

Author(s) / Creator(s):: Xu, Hairuo; Shu, Tao

Publisher / Repository:: ELSEVIER

Date Published:: 2024-05-01

Journal Name:: Journal of Information Security and Applications

Volume:: 82

Issue:: C

ISSN:: 2214-2126

Page Range / eLocation ID:: 103744

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Journal Article:
https://doi.org/10.1016/j.jisa.2024.103744