FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.
Junyu Luo|Jianlei Yang|Xucheng Ye|Xin Guo|Weisheng Zhao
| Anthology ID: | DBLP:conf/cikm/Luo0YGZ21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3283-3287 |
| URL: | https://doi.org/10.1145/3459637.3482107 |
| DOI: | https://doi.org/10.1145/3459637.3482107 |
| DBLP: | conf/cikm/Luo0YGZ21 |
| BibTeX: |
@inproceedings{luo-2021-fedskel,
author = {Junyu Luo and
Jianlei Yang and
Xucheng Ye and
Xin Guo and
Weisheng Zhao},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {3283--3287},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482107},
doi = {https://doi.org/10.1145/3459637.3482107}
}