FedCD

FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers, AAAI 2024

Yuzhi Liu^, Huisi Wu*, Jing Qin

Installation

conda create --name FedCD python=3.8
conda activate FedCD
pip install -r requirements.txt

Notes

Due to the confidentiality agreement in commercial cooperation, we only provide codes of core modules and the whole trainable models for the convenience of comparisons.

Acknowledgement

The work is based on RSCFed. Thanks for the open source contributions to these efforts!

Citation

if you find our work useful, please cite our paper, thank you!

@inproceedings{liu2024fedcd,
  title={Fedcd: Federated semi-supervised learning with class awareness balance via dual teachers},
  author={Liu, Yuzhi and Wu, Huisi and Qin, Jing},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={4},
  pages={3837--3845},
  year={2024}
}