Distributed Dual Subgradient Algorithms With Iterate-Averaging Feedback for Convex Optimization With Coupled Constraints.
Shu LiangLe Yi WangGeorge YinPublished in: IEEE Trans. Cybern. (2021)
Keyphrases
- convex optimization
- convex optimization problems
- interior point
- primal dual
- interior point methods
- dual variables
- alternating direction method of multipliers
- convex programming
- learning algorithm
- convex constraints
- low rank
- convex formulation
- convex relaxation
- dual formulation
- operator splitting
- coordinate descent method
- quadratic program
- machine learning algorithms
- image restoration
- linear programming
- dynamic programming
- feature vectors
- feature space