HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models.

Anupam Gupta|Pabitra Mitra|Sudip Misra


Anthology ID:DBLP:conf/www/GuptaMM24
Volume:Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:509-512
URL:https://doi.org/10.1145/3589335.3651518
DOI:https://doi.org/10.1145/3589335.3651518
DBLP:conf/www/GuptaMM24
BibTeX:
@inproceedings{gupta-2024-hbias, author = {Anupam Gupta and Pabitra Mitra and Sudip Misra}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{HBIAS FedAvg: Smooth Federated Learning Transition for In-use Edge Models}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {509--512}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3651518}, doi = {https://doi.org/10.1145/3589335.3651518} }