Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation.
Siqing Zhang|Yuchen Ding|Wei Tang|Wei Sun|Yong Liao|Peng Yuan Zhou
| Anthology ID: | DBLP:conf/wsdm/ZhangD0SLZ25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 327-335 |
| URL: | https://doi.org/10.1145/3701551.3703513 |
| DOI: | https://doi.org/10.1145/3701551.3703513 |
| DBLP: | conf/wsdm/ZhangD0SLZ25 |
| BibTeX: |
@inproceedings{zhang-2025-privacypreserving,
author = {Siqing Zhang and
Yuchen Ding and
Wei Tang and
Wei Sun and
Yong Liao and
Peng Yuan Zhou},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {327--335},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703513},
doi = {https://doi.org/10.1145/3701551.3703513}
}