CVPR · 2024 · Conference paper

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer

Xin Gao, Xin Yang, Hao Yu, Kang Yan, Tianrui Li

Southwestern University of Finance and Economics · Southwest Jiaotong University

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Published in
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Date
2024-06-17
Citations
26
arXiv
2405.02685
Cite
@inproceedings{gao2024fedprok,
  title = {FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer},
  author = {Xin Gao and Xin Yang and Hao Yu and Kang Yan and Tianrui Li},
  year = {2024},
  booktitle = {2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  eprint = {2405.02685},
  archivePrefix = {arXiv},
  doi = {10.1109/CVPRW63382.2024.00424},
  url = {https://arxiv.org/abs/2405.02685},
}