FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients.
Kaibin Wang|Qiang He|Zeqian Dong|Ziteng Wei|Caslon Chua|Feifei Chen|Hai Jin|Yun Yang
| Anthology ID: | DBLP:conf/www/WangHDWCCJY26 |
|---|---|
| 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: | 4974-4985 |
| URL: | https://doi.org/10.1145/3774904.3792084 |
| DOI: | https://doi.org/10.1145/3774904.3792084 |
| DBLP: | conf/www/WangHDWCCJY26 |
| BibTeX: |
@inproceedings{wang-2026-fedbridge,
author = {Kaibin Wang and
Qiang He and
Zeqian Dong and
Ziteng Wei and
Caslon Chua and
Feifei Chen and
Hai Jin and
Yun Yang},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous 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 = {4974--4985},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792084},
doi = {https://doi.org/10.1145/3774904.3792084}
}