/AdaptiveSplitFederatedLearning

This is official code for ASFL.

Primary LanguagePython

AdaptiveSplitFederatedLearning

This is official code for ASFL.

Running in your devices

Firstly, set your own parameters in the */args.py.

Secondly, run */server.py and also */sh.sh.

image

Reference codes

The niid setting: https://github.com/lx10077/fedavgpy

The socket setting: https://github.com/Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi

Reference

For more information of SFL in VEC, you can see in this paper.

@misc{qiang2024splitfederatedlearningempowered,
      title={Split Federated Learning Empowered Vehicular Edge Intelligence: Adaptive Parellel Design and Future Directions}, 
      author={Xianke Qiang and Zheng Chang and Chaoxiong Ye and Timo Hamalainen and Geyong Min},
      year={2024},
      eprint={2406.15804},
      archivePrefix={arXiv},
      primaryClass={cs.DC}
      url={https://arxiv.org/abs/2406.15804}, 
}
@inproceedings{Qiang2024AdaptiveAP,
  title={Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing},
  author={Xianke Qiang and Zheng Chang and Yun Hu and Lei Liu and Timo Hamalainen},
  year={2024},
  url={https://api.semanticscholar.org/CorpusID:270095175}
}