A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning.
| Anthology ID: | DBLP:conf/cikm/XuH23 |
|---|---|
| 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: | 4370-4374 |
| URL: | https://doi.org/10.1145/3583780.3615173 |
| DOI: | https://doi.org/10.1145/3583780.3615173 |
| DBLP: | conf/cikm/XuH23 |
| BibTeX: |
@inproceedings{xu-2023-joint,
author = {Jian Xu and
Shao-Lun Huang},
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 = {{A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4370--4374},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615173},
doi = {https://doi.org/10.1145/3583780.3615173}
}