Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics.
Xi WuArun KumarKamalika ChaudhuriSomesh JhaJeffrey F. NaughtonPublished in: CoRR (2016)
Keyphrases
- differentially private
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- differential privacy
- random forests
- business intelligence
- data management
- online algorithms
- weight vector
- regularization parameter
- support vector machine
- data mining
- multiple kernel learning
- pairwise
- xml documents
- importance sampling
- decision trees
- linear model
- random forest
- privacy preserving
- training set