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AIDS/AIMLFederated Learning / PrivacyIEEE Final Year Projects
Federated Learning for Privacy-Aware Health Data
Decentralized machine learning framework training disease prediction models across hospital silos without sharing patient data.
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Project Technical Overview
Implements FedAvg (Federated Averaging) algorithm using PySyft/Flower framework. Local models train on hospital database nodes; only encrypted weight gradients are shared with central server.
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