Stop Leaking Vitals: Building a Private Health Predictor with Differential Privacy and Federated Learning

Data is the lifeblood of modern medicine, but privacy is its heartbeat. In the era of AI, we face a massive paradox: we need massive datasets to predict flu outbreaks or heart disease, but individual health records are (rightfully) locked behind strict privacy walls. Enter Differential Privacy (DP) and Federated Learning (FL) . By combining these two, we can train powerful models on decentralized data without a single byte of sensitive information ever leaving the user's device. In this guide, w