FedRIR: Rethinking Information Representation in Federated Learning.
Yongqiang Huang|Zerui Shao|Ziyuan Yang|Zexin Lu|Yi Zhang
| Anthology ID: | DBLP:conf/www/0003SYLZ25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 807-816 |
| URL: | https://doi.org/10.1145/3696410.3714612 |
| DOI: | https://doi.org/10.1145/3696410.3714612 |
| DBLP: | conf/www/0003SYLZ25 |
| BibTeX: |
@inproceedings{huang-2025-fedrir,
author = {Yongqiang Huang and
Zerui Shao and
Ziyuan Yang and
Zexin Lu and
Yi Zhang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{FedRIR: Rethinking Information Representation in Federated Learning}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {807--816},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714612},
doi = {https://doi.org/10.1145/3696410.3714612}
}