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} }