FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning.
Sangmook Kim|Wonyoung Shin|Soohyuk Jang|Hwanjun Song|Se-Young Yun
| Anthology ID: | DBLP:conf/cikm/KimSJSY22 |
|---|---|
| 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: | 972-981 |
| URL: | https://doi.org/10.1145/3511808.3557322 |
| DOI: | https://doi.org/10.1145/3511808.3557322 |
| DBLP: | conf/cikm/KimSJSY22 |
| BibTeX: |
@inproceedings{kim-2022-fedrn,
author = {Sangmook Kim and
Wonyoung Shin and
Soohyuk Jang and
Hwanjun Song and
Se-Young Yun},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {972--981},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557322},
doi = {https://doi.org/10.1145/3511808.3557322}
}