FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance.
Xiuting Weng|Lixing Yu|Shaojie Zhan|Ruizhi Pu|Xiaofei Liu
| Anthology ID: | DBLP:conf/cikm/WengYZPL25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3312-3322 |
| URL: | https://doi.org/10.1145/3746252.3761316 |
| DOI: | https://doi.org/10.1145/3746252.3761316 |
| DBLP: | conf/cikm/WengYZPL25 |
| BibTeX: |
@inproceedings{weng-2025-fedfmd,
author = {Xiuting Weng and
Lixing Yu and
Shaojie Zhan and
Ruizhi Pu and
Xiaofei Liu},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3312--3322},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761316},
doi = {https://doi.org/10.1145/3746252.3761316}
}