Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent.
Lauren WatsonEric GanMohan DantamBaharan MirzasoleimanRik SarkarPublished in: CoRR (2023)
Keyphrases
- differentially private
- stochastic gradient descent
- matrix factorization
- least squares
- step size
- differential privacy
- loss function
- support vector machine
- random forests
- data sets
- online algorithms
- convergence rate
- machine learning methods
- multiple kernel learning
- weight vector
- logistic regression
- collaborative filtering
- bayesian networks
- learning algorithm