Garfield

Authors¹: Arsany Guirguis, Jérémy Max Plassmann, Anton Alexandre Ragot, Sébastien Rouault

This is the library introduced in Garfield: System Support for Byzantine Machine Learning, co-authored by Rachid Guerraoui, who supervised the project.

Garfield is implemented in both TensorFlow and PyTorch, which can be found in their respective directories.

In each of these directories, you can find complete information on the requirements of the software, how to install it and use it.

Citation

If you are using our software or our results, please cite our paper as follows:

@inproceedings{guerraoui2021garfield,
  title={GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)},
  author={Guerraoui, Rachid and Guirguis, Arsany and Plassmann, J{\'e}r{\'e}my and Ragot, Anton and Rouault, S{\'e}bastien},
  booktitle={2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)},
  pages={39--51},
  year={2021},
  organization={IEEE}
}

Correspondence to: Arsany Guirguis [email protected].

¹_{alphabetical order, as for all the papers from the Distributed Computing Laboratory (DCL) of EPFL.}