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Which learning method is suitable when you want to protect user privacy while reducing network load?
①Collect raw data from all devices into the cloud, encrypt it, and train on it.
②Use federated learning to train on the device and send only model updates.
③Keep all raw data on the device for a long period.
④No data is collected and no training is performed.
⑤Always send raw data and handle it in subsequent audits.