Auto-weighted Robust Federated Learning with Corrupted Data Sources.
Shenghui Li|Edith C. H. Ngai|Fanghua Ye|Thiemo Voigt
| Anthology ID: | DBLP:journals/tist/LiNYV22 |
|---|---|
| Year: | 2022 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 73:1-73:20 |
| URL: | https://doi.org/10.1145/3517821 |
| DOI: | https://doi.org/10.1145/3517821 |
| DBLP: | journals/tist/LiNYV22 |
| BibTeX: |
@article{li-2022-autoweighted,
author = {Shenghui Li and
Edith C. H. Ngai and
Fanghua Ye and
Thiemo Voigt},
title = {{Auto-weighted Robust Federated Learning with Corrupted Data Sources}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {13},
number = {5},
pages = {73:1--73:20},
year = {2022},
url = {https://doi.org/10.1145/3517821},
doi = {https://doi.org/10.1145/3517821}
}