This is a code supplement to "Analysis on the Vulnerability of Multi-Server Federated Learning Against Model Poisoning Attacks".

It is done as part of the 2024 winter edition of the Research Project of TU Delft

It is based on the code from: https://github.com/vrt1shjwlkr/NDSS21-Model-Poisoning/tree/main/cifar10 with added modifications to simulate a FedMes network and the two novel attacks, discussed in the paper.

It is recommended to run the code in a python venv.

To install the requierments use

pip install -r requirements.txt

Before running it for the first time use the following command to obtain the datasets

python data.py

Afterwards the parameters can be adjusted by modifing the arguments.py file and multiple experiments can set to run in sequence by adjusting the main.py file.

To start it use:

python main.py