Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users.
Bingyan Liu|Yifeng Cai|Hongzhe Bi|Ziqi Zhang|Ding Li|Yao Guo|Xiangqun Chen
| Anthology ID: | DBLP:conf/www/LiuCBZL0C23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2863-2873 |
| URL: | https://doi.org/10.1145/3543507.3583212 |
| DOI: | https://doi.org/10.1145/3543507.3583212 |
| DBLP: | conf/www/LiuCBZL0C23 |
| BibTeX: |
@inproceedings{liu-2023-beyond,
author = {Bingyan Liu and
Yifeng Cai and
Hongzhe Bi and
Ziqi Zhang and
Ding Li and
Yao Guo and
Xiangqun Chen},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {2863--2873},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583212},
doi = {https://doi.org/10.1145/3543507.3583212}
}