EnclaveML is an experimental framework that preserves data privacy with a federating learning workflow.
Federated learning preserves data privacy by training models without needing training data needing to leave a local device. Instead of data being sent to a centralized server for training a machine learning model, the model is sent to each client to train on local data that does not need to be transmitted to a server.
After cloning the repository, install dependencies and start the development server.
npm i
npm start
The development server can be viewed by navigating to localhost:3000 in a web browser.