Shuffle Private Stochastic Convex Optimization.
Albert CheuMatthew JosephJieming MaoBinghui PengPublished in: ICLR (2022)
Keyphrases
- convex optimization
- interior point methods
- total variation
- low rank
- convex relaxation
- primal dual
- norm minimization
- convex optimization problems
- convex formulation
- basis pursuit
- low rank matrix
- convex constraints
- augmented lagrangian
- alternating direction method of multipliers
- semidefinite program
- denoising
- learning problems
- multi label