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} }