FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning

Jiang et al. "FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I17.33942

[Jiang et al. "FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/jiang2025aaai-fedcfa/) doi:10.1609/AAAI.V39I17.33942

@inproceedings{jiang2025aaai-fedcfa,
  title     = {{FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning}},
  author    = {Jiang, Zhonghua and Xu, Jimin and Zhang, Shengyu and Shen, Tao and Li, Jiwei and Kuang, Kun and Cai, Haibin and Wu, Fei},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {17662-17670},
  doi       = {10.1609/AAAI.V39I17.33942},
  url       = {https://mlanthology.org/aaai/2025/jiang2025aaai-fedcfa/}
}