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Federated Learning

Meaning

Federated Learning is a decentralized machine learning approach that trains algorithms across multiple distributed edge devices or servers holding local data samples, without exchanging the data itself. This methodology allows for the collaborative creation of a robust global model while preserving the privacy and security of sensitive clinical and personal health information. It is a computational strategy with significant implications for advancing personalized medicine in the hormonal health space. This technology enables collaborative data analysis.