Gradient Perturbation is Underrated for Differentially Private Convex Optimization.

Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu Jian Yin

Published in: CoRR (2019)

Keyphrases

convex optimization
differentially private
differential privacy
privacy guarantees
interior point methods
primal dual
convex optimization problems
total variation
operator splitting
privacy preserving
gradient method
data sets
machine learning
support vector
high dimensional
data quality