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} }