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Federated Learning

Meaning

Federated Learning represents a decentralized machine learning approach where artificial intelligence models are trained across multiple distributed datasets, such as those held by various healthcare institutions, without directly exchanging or centralizing the raw patient data. This method allows for collaborative model development while rigorously preserving individual data privacy and security, a critical consideration in medical informatics.