DP-ASSGD: Differential Privacy Protection Based on Stochastic Gradient Descent Optimization.
Qiang GaoHan SunZhifang WangPublished in: ICPCSEE (1) (2023)
Keyphrases
- stochastic gradient descent
- privacy protection
- stochastic gradient
- least squares
- loss function
- matrix factorization
- step size
- random forests
- dynamic programming
- privacy preserving
- data sharing
- support vector machine
- private information
- information loss
- data collection
- regularization parameter
- statistical databases
- optimization algorithm
- wireless sensor networks
- online algorithms
- data sets
- missing data
- weight vector
- pairwise
- learning algorithm