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When multiple medical institutions jointly develop AI without sharing data, what is the best strategy to ensure privacy while enabling useful learning?
①Each organization exchanges anonymized raw data by email.
②Gather all data on a central server and then anonymize it.
③Limit it to each facility creating models individually and just comparing their publicly reported performance.
④In distributed learning such as federated learning, each institution shares its local updates.
⑤Completely prohibit the use of data and replace it with only experts' opinions.