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When multiple hospitals jointly build a model using patient data, which method is most appropriate for protecting patient privacy?
①Collect all data in one place, encrypt it, and then perform training.
②Because anonymization completely resolves privacy issues, we perform normal training.
③Only put data-sharing agreements in place and have each institution provide raw data.
④Prioritize model performance and keep privacy protections to a minimum.
⑤Combine distributed learning and privacy-preserving technologies, such as federated learning and differential privacy.