FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.
Haozhao Wang|Yabo Jia|Meng Zhang|Qinghao Hu|Hao Ren|Peng Sun|Yonggang Wen|Tianwei Zhang
| Anthology ID: | DBLP:conf/www/WangJZHR00024 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2902-2913 |
| URL: | https://doi.org/10.1145/3589334.3645416 |
| DOI: | https://doi.org/10.1145/3589334.3645416 |
| DBLP: | conf/www/WangJZHR00024 |
| BibTeX: |
@inproceedings{wang-2024-feddse,
author = {Haozhao Wang and
Yabo Jia and
Meng Zhang and
Qinghao Hu and
Hao Ren and
Peng Sun and
Yonggang Wen and
Tianwei Zhang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2902--2913},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645416},
doi = {https://doi.org/10.1145/3589334.3645416}
}