How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization.
Andrew LowyJonathan R. UllmanStephen J. WrightPublished in: CoRR (2024)
Keyphrases
- convex optimization
- differentially private
- differential privacy
- privacy preserving
- interior point methods
- total variation
- convex optimization problems
- private data
- primal dual
- operator splitting
- privacy preservation
- norm minimization
- personal information
- machine learning
- data sets
- image compression
- alternating direction method of multipliers