yuchenliu-a / byzantine-gas

Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".

README

This repository provides code of ICML'23 paper

Set up

Install conda environment

conda env create -f environment.yml
conda activate gas

Running code

python main.py

change config in main.py to test GAS in different settings.

Reference

@misc{liu2023byzantinerobust,
      title={Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting}, 
      author={Yuchen Liu and Chen Chen and Lingjuan Lyu and Fangzhao Wu and Sai Wu and Gang Chen},
      year={2023},
      eprint={2302.06079},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

byzantine-gas's Issues

about adding other attack method

Dear professor, this work is very awsome!!! Could you please upload other attack method in your paper? Thank you very much!

About other model and attack

It's a simple and nice work !!!

But I would like to know how to add the other model and attack method.?

I also would like to know the full config file in your paper if you have any free time.