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Which method is most suitable when multiple banks want to jointly train a loan screening model without sharing personal data?
①Aggregate raw data on a central server and perform centralized training.
②Banks partially exchange raw data by mutual agreement.
③Train only on synthetic data and ignore real-world trends.
④Use federated learning and protect with techniques such as differential privacy.
⑤Only share the trained weights without protection and do not perform any verification.