Stochastic gradient descent with differentially private updates.
Shuang SongKamalika ChaudhuriAnand D. SarwatePublished in: GlobalSIP (2013)
Keyphrases
- differentially private
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- differential privacy
- random forests
- support vector machine
- regularization parameter
- importance sampling
- multiple kernel learning
- weight vector
- online algorithms
- privacy preserving
- learning algorithm
- optical flow
- support vector