A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning.

Jian Xu|Shao-Lun Huang


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} }