Is there a way create a federated learning/training solution. I'm planning to create on-device training and since the data is private I'd want to update the model while respecting user privacy and have all users benefit from a new model I can redistribute in updates. Is there a way to achieve this? Especially while respecting user data privacy.
Apple doesn't offer an out-of-box solution for federated learning at the moment. The differential privacy team at Apple published this article to discuss how to think about this problem:
https://machinelearning.apple.com/research/learning-with-privacy-at-scale