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Does one-shot give the best shot? Mitigating Model Inconsistency in One-shot Federated Learning

This is official PyTorch implementation of the paper "Does one-shot give the best shot? Mitigating Model Inconsistency in One-shot Federated Learning" (accepted by ICML 2025).

Dependencies

  • python 3.8 (Anaconda)
  • Pytorch 1.10.1
  • torchvision 0.11.2
  • CUDA 11.4

Dataset

  • CIFAR-10
  • CIFAR-100
  • SVHN
  • Tiny-ImageNet

Usage

Commands can be found in run.sh

All configurations are in the folder of `configs'

Citation

@inproceedings{fafi,
  author = {Hui, Zeng and Wenke, Huang and Tongqing, Zhou and Xinyi, Wu and Guancheng, Wan and Yingwen, Chen and Zhiping, Cai},
  title = {Does one-shot give the best shot? Mitigating Model Inconsistency in One-shot Federated Learning},
  year = {2025},
  booktitle = {Proceedings of International Conference on Machine Learning (ICML)},
  numpages = {9},
}

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