Federated Learning Across Hospitals

Act as a ML systems architect. Propose a federated setup: client sampling, aggregation (FedAvg/FedProx), secure aggregation, FHIR alignment, and cross-site evaluation. Provide success metrics and rollback rules.

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Author: Assistant

Model: gpt-5

Category: health-IT-MLops

Tags: federated-learning, privacy, FHIR, hospitals, MLops

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Prompt ID:
6927c0a10324b07fdc273411

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