Shuffle Private Stochastic Convex Optimization.
Albert CheuMatthew JosephJieming MaoBinghui PengPublished in: CoRR (2021)
Keyphrases
- convex optimization
- interior point methods
- convex optimization problems
- total variation
- primal dual
- convex formulation
- low rank
- convex relaxation
- norm minimization
- operator splitting
- computer vision
- semidefinite program
- augmented lagrangian
- augmented lagrangian method
- image restoration
- denoising
- alternating direction method of multipliers
- image processing