In this liveProject, you’ll apply the federated learning machine learning paradigm to compute a personalized infection risk diagnosis for COVID-19. Federated learning is an ML paradigm that learns from decentralized data via distributed computing environments. The risk diagnosis will come from a tailored classifier that is trained separately for each individual, by combining gradient descent with a network averaging method. You’ll then develop a federate learning algorithm that can be implemented by scalable passing messages over the contact network.
This project is designed for learning purposes and is not a complete, production-ready application or solution.