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} }