I was thinking we could do something similar to what federated learning does: part of the calculation is done on the client, part in the provider. With machine learning, the neural net is created by the client first and then sent to the server such that the server cannot really understand the raw data anymore.
I have been reading about federated learning these days, there's very interesting possibilities.
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