• The presented work focuses on addressing cybersecurity threats in Federated Learning (FL), particularly dealing with poisoning attacks and Byzantine clients,
• Our project is developed based on this project https://github.com/JianXu95/SignGuard

1. Open the options.py file and customize the options for the dataset, attack, defense method, and other options such as the skew degree of non-IID data.
2. Run federated_main.py.
3. You will get the training and test performance in a .csv file stored in the same project directory.

The project requires the following packages to be installed:

• scipy==1.10.1
• seaborn==0.13.0
• torchdata==0.7.1
• torchtext==0.16.1
• torchvision==0.15.2
• torchxrayvision==1.2.1

• All requirements can be found in the requirements.txt.

Please cite our paper (and the respective papers on the methods used) if you use this code in your work: