DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release

2 code implementations • 23 Nov 2023 • Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran

Motivated by this, this paper proposes DPSUR, a Differentially Private training framework based on Selective Updates and Release, where the gradient from each iteration is evaluated based on a validation test, and only those updates leading to convergence are applied to the model.

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