Enhancing privacy and security in Federated learning protecting electronic health records data from adversarial attacks
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Federated Learning (FL) is a revolutionary approach to machine learning that allows multiple institutions, such as healthcare organizations, to collaboratively train models without sharing sensitive data directly. The problem involves protecting Electronic Hea... ...
