A Gradient-free Penalty ADMM for Solving Distributed Convex Optimization Problems with Feasible Set Constraints.
Chenyang LiuXiaohua DouSongsong ChengYuan FanPublished in: ICARCV (2022)
Keyphrases
- convex optimization problems
- feasible set
- convex optimization
- convex sets
- objective function
- optimization problems
- variational inequalities
- interior point methods
- primal dual
- total variation
- low rank
- feasible solution
- linear constraints
- machine learning
- learning problems
- image denoising
- image restoration
- linear program
- finite number
- denoising
- cost function
- optimal solution
- image processing