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}
}