Federated Learning is a novel method used for decentralized training. Unlike the conventional method of training data at the centre, FL allow it to train at the edge devices itself and aggregate a global model from all the local model, without compromising privacy.
- setup.sh
- Procfile
- requirements.txt
This application consists of EDA, reports on the analysis and insights and results on the simulation experiment. The code for the experiments is also available in the app.