Stochastic Mirror Descent for Convex Optimization with Consensus Constraints.
Anastasia BorovykhNikolas KantasPanos ParpasGrigorios A. PavliotisPublished in: SIAM J. Appl. Dyn. Syst. (2024)
Keyphrases
- convex optimization
- convex constraints
- interior point methods
- low rank
- total variation
- primal dual
- convex optimization problems
- convex relaxation
- constrained optimization
- high quality
- norm minimization
- linear constraints
- semidefinite program
- operator splitting
- multiresolution
- low rank matrix
- computer vision
- alternating direction method of multipliers