Web-Based Federated Learning System for Diabetes Prediction Under Non-IID Data Distribution

A web-based federated learning system for diabetes prediction under non-IID data distribution.

A web-based federated learning system for diabetes prediction under non-IID data distribution. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners building full-stack skills: user accounts and roles, a database-backed back end, a responsive front end and deployment.

The main parts are privacy-preserving training across several clients, with only model updates shared, secure sign-up with role-based access, a database-backed back end with a clear API, a responsive interface for each type of user, and an admin view to manage records. The reference build uses scikit-learn, Flower, React, Node.js, and Express, with a clear project structure, setup instructions and sample data so that it can be run and extended.