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If you want to train a model using patient data from multiple remote clinics while preserving privacy, which method is most appropriate?
①Aggregate all data on a central server and perform centralized training.
②Provide each clinic's raw data to third parties.
③Share incompletely anonymized data.
④Distribute models to each facility and integrate updates via federated learning.
⑤Stop data collection.