SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing.
Jie FuZhili ChenXinPeng LingPublished in: CoRR (2022)
Keyphrases
- simulated annealing
- differentially private
- stochastic gradient descent
- least squares
- matrix factorization
- loss function
- step size
- differential privacy
- evolutionary algorithm
- genetic algorithm
- random forests
- weight vector
- genetic algorithm ga
- support vector machine
- online algorithms
- multiple kernel learning
- regularization parameter
- pairwise
- learning rate
- machine learning algorithms
- importance sampling
- linear combination
- high dimensional