FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients.
Dezhong Yao|Tongtong Liu|Yuexin Shi|Zhiqiang Xu
| Anthology ID: | DBLP:conf/www/YaoLSX26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 5686-5697 |
| URL: | https://doi.org/10.1145/3774904.3792743 |
| DOI: | https://doi.org/10.1145/3774904.3792743 |
| DBLP: | conf/www/YaoLSX26 |
| BibTeX: |
@inproceedings{yao-2026-fedmho,
author = {Dezhong Yao and
Tongtong Liu and
Yuexin Shi and
Zhiqiang Xu},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {5686--5697},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792743},
doi = {https://doi.org/10.1145/3774904.3792743}
}