This repository intends to use the simplest code to simulate federated learning fast.
- Change the params in main.py
- Type ./run.sh in shell.
- Results are generated in logs/ folder.
The implementation includes (multi-processing) fedavg, fedensemble. They are implemented in server.py and client.py
Contributions are welcome! If you're interested in improving the multi-processing, or adding new algorithms, feel free to add a new pull request.