jeremy313/non-iid-dataset-for-personalized-federated-learning
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
Python
Stargazers
- ace2762DaSE, ECNU
- altomanscott
- beiyuouoBeijing, China
- bibikarCupertino, CA
- Bojian-Wei
- coldfish-st
- dphuongn
- guobbin
- hiyuchangAlibaba
- irombie@cohere-ai
- jimmyc96SUTD & NUS
- jlevy44
- justin5718
- lebyniPeking University
- liangzhang-keepmoving
- LiefBHangzhou, China
- MelonTree123
- MinghuiChen43University of British Columbia
- OneForwardShanghai Jiao Tong University
- p197
- rachidio
- ray-ruisunNewcastle University
- royywang
- sdwuyawen
- shiyi-lin
- siddharthdiviAlexa AI
- Sprinter1999AMD
- tchaye59China
- tianzheng4University of Toronto
- tilmtoGeorgia Institute of Technology
- tnojima03
- warisgill@VirginiaTech, @cisco
- wizard1203The Hong Kong University of Science and Technology
- yiliucsCityU
- zliangak
- ztichigo