FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data.
Nazmus Shakib Shadin|Xinyue Zhang
| Anthology ID: | DBLP:conf/www/ShadinZ25 |
|---|---|
| Volume: | Companion 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: | 1744-1751 |
| URL: | https://doi.org/10.1145/3701716.3717645 |
| DOI: | https://doi.org/10.1145/3701716.3717645 |
| DBLP: | conf/www/ShadinZ25 |
| BibTeX: |
@inproceedings{shadin-2025-fedkdshap,
author = {Nazmus Shakib Shadin and
Xinyue Zhang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1744--1751},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717645},
doi = {https://doi.org/10.1145/3701716.3717645}
}