Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
Chao Zhang|Fangzhao Wu|Jingwei Yi|Derong Xu|Yang Yu|Jindong Wang|Yidong Wang|Tong Xu|Xing Xie|Enhong Chen
| Anthology ID: | DBLP:conf/cikm/ZhangWYXYWWXXC23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3257-3267 |
| URL: | https://doi.org/10.1145/3583780.3614991 |
| DOI: | https://doi.org/10.1145/3583780.3614991 |
| DBLP: | conf/cikm/ZhangWYXYWWXXC23 |
| BibTeX: |
@inproceedings{zhang-2023-noniid,
author = {Chao Zhang and
Fangzhao Wu and
Jingwei Yi and
Derong Xu and
Yang Yu and
Jindong Wang and
Yidong Wang and
Tong Xu and
Xing Xie and
Enhong Chen},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3257--3267},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614991},
doi = {https://doi.org/10.1145/3583780.3614991}
}