The authors define dynamic noisy multi-client functional encryption, present the PRF-based inner-product scheme DyNo, and use it to train a differentially private logistic regression with claimed millisecond-level performance.
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Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
The authors define dynamic noisy multi-client functional encryption, present the PRF-based inner-product scheme DyNo, and use it to train a differentially private logistic regression with claimed millisecond-level performance.