CVPR · 2022 · Conference paper

Federated Class-Incremental Learning

Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

Shenyang Institute of Automation · Chinese Academy of Sciences · University of Chinese Academy of Sciences · State Key Laboratory of Robotics · University of Technology Sydney

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Published in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Date: 2022-06-01
Citations: 315
arXiv: 2203.11473 ↗

Cite

@inproceedings{dong2022federated,
  title = {Federated Class-Incremental Learning},
  author = {Jiahua Dong and Lixu Wang and Zhen Fang and Gan Sun and Shichao Xu and Xiao Wang and Qi Zhu},
  year = {2022},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  eprint = {2203.11473},
  archivePrefix = {arXiv},
  doi = {10.1109/CVPR52688.2022.00992},
  url = {https://arxiv.org/abs/2203.11473},
}