Event-triggered primal-dual design with linear convergence for distributed nonstrongly convex optimization.
Xin YuYuan FanSongsong ChengPublished in: J. Frankl. Inst. (2023)
Keyphrases
- convex optimization
- primal dual
- interior point methods
- operator splitting
- convergence rate
- linear programming problems
- low rank
- linear programming
- convex optimization problems
- line search
- semidefinite programming
- convex programming
- approximation algorithms
- variational inequalities
- interior point
- quadratic program
- convex relaxation
- convex sets
- linear program
- total variation
- special case
- convex constraints
- computer vision
- image restoration
- augmented lagrangian
- dual formulation
- pairwise