DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
Jie FuQingqing YeHaibo HuZhili ChenLulu WangKuncan WangRan XunPublished in: CoRR (2023)
Keyphrases
- differentially private
- stochastic gradient descent
- least squares
- differential privacy
- matrix factorization
- loss function
- step size
- random forests
- support vector machine
- regularization parameter
- multiple kernel learning
- online algorithms
- privacy preserving
- weight vector
- convergence speed
- high dimensional
- training data
- privacy preservation
- monte carlo
- model selection
- support vector