Tackling Noisy Clients in Federated Learning with End-to-end Label Correction.

Xuefeng Jiang|Sheng Sun|Jia Li|Jingjing Xue|Runhan Li|Zhiyuan Wu|Gang Xu|Yuwei Wang|Min Liu


Anthology ID:DBLP:conf/cikm/JiangSLXLWXW024
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1015-1026
URL:https://doi.org/10.1145/3627673.3679550
DOI:https://doi.org/10.1145/3627673.3679550
DBLP:conf/cikm/JiangSLXLWXW024
BibTeX:
@inproceedings{jiang-2024-tackling, author = {Xuefeng Jiang and Sheng Sun and Jia Li and Jingjing Xue and Runhan Li and Zhiyuan Wu and Gang Xu and Yuwei Wang and Min Liu}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Tackling Noisy Clients in Federated Learning with End-to-end Label Correction}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {1015--1026}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679550}, doi = {https://doi.org/10.1145/3627673.3679550} }