Towards Federated Learning against Noisy Labels via Local Self-Regularization.
Xuefeng Jiang|Ullas Nambiar|Yuwei Wang|Sheng Sun|Min Liu|Niranjan Thirumale|Ullas Nambiar|Yuwei Wang|Min Liu|Niranjan Thirumale
| Anthology ID: | DBLP:conf/cikm/JiangSWL22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 862-873 |
| URL: | https://doi.org/10.1145/3511808.3557475 |
| DOI: | https://doi.org/10.1145/3511808.3557475 |
| DBLP: | conf/cikm/JiangSWL22 |
| BibTeX: |
@inproceedings{jiang-2022-towards,
author = {Xuefeng Jiang and
Ullas Nambiar and
Yuwei Wang and
Sheng Sun and
Min Liu and
Niranjan Thirumale and
Ullas Nambiar and
Yuwei Wang and
Min Liu and
Niranjan Thirumale},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Towards Federated Learning against Noisy Labels via Local Self-Regularization}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {862--873},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557475},
doi = {https://doi.org/10.1145/3511808.3557475}
}