The fitness difference between DP and non-private convex ML models is inversely proportional to training dataset size squared and privacy budget squared.
Privacy-preserving l ogistic regres- sion,
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The Value of Collaboration in Convex Machine Learning with Differential Privacy
The fitness difference between DP and non-private convex ML models is inversely proportional to training dataset size squared and privacy budget squared.