Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics.
Xi WuFengan LiArun KumarKamalika ChaudhuriSomesh JhaJeffrey F. NaughtonPublished in: SIGMOD Conference (2017)
Keyphrases
- stochastic gradient descent
- differential privacy
- differentially private
- least squares
- loss function
- step size
- privacy preserving
- matrix factorization
- random forests
- privacy preservation
- weight vector
- data sharing
- pairwise
- online algorithms
- data mining
- personal information
- data sets
- data privacy
- data management
- support vector machine
- regularization parameter
- multiple kernel learning
- business intelligence
- importance sampling
- social media
- web search
- collaborative filtering
- data warehouse