siabdullah4 / fair-fate

FAIR-FATE: Fair Federated Learning with Momentum

FAIR-FATE

by Teresa Salazar, Miguel Fernandes, Helder Araujo, Pedro Henriques Abreu

General Structure

All source code used to generate the results and figures in the paper are in the code folder. The datasets used in this study are provided in datasets. Results generated by the code are saved in the respective dataset folder.

Dependencies

You'll need a working Python environment to run the code. The required dependencies are specified in the file requirements.txt.

You can install all required dependencies by running:

pip install -r requirements.txt

Reproducing the results

To build and test the software and produce all results run this in the top level of the repository:

sh script.sh

Running the code with your own dataset

To build and test the software and produce all results on your own dataset you will need to:

• create a new file on the datasets folder with the name of your dataset
• create a Model (following, for example, the file Adult.py)
• add the model in the run.py file in which given the dataset name a new Model is generated.

License

All source code is made available under a Creative Commons License license. (https://creativecommons.org/licenses/by/4.0/)