Submitted by Prestigious_Tap8633 t3_112fazm in MachineLearning
The-Last-Lion-Turtle t1_j8jrena wrote
It could work with a heavy efficiency penalty.
https://en.m.wikipedia.org/wiki/Homomorphic_encryption
Though I don't think gradient descent will select for something like this.
Far more likely is to obfuscate how it works so while it's not encrypted we learn little with the tools we have, and would have an extremely difficult time verifying something is absent.
WikiSummarizerBot t1_j8jrghx wrote
>Homomorphic encryption is a form of encryption that allows computations to be performed on encrypted data without first having to decrypt it. The resulting computations are left in an encrypted form which, when decrypted, result in an output that is identical to that produced had the operations been performed on the unencrypted data. Homomorphic encryption can be used for privacy-preserving outsourced storage and computation. This allows data to be encrypted and out-sourced to commercial cloud environments for processing, all while encrypted.
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