Linear convergence rate for distributed optimization with the alternating direction method of multipliers.
Franck IutzelerPascal BianchiPhilippe CiblatWalid HachemPublished in: CDC (2014)
Keyphrases
- convergence rate
- alternating direction method of multipliers
- global convergence
- convex optimization
- faster convergence rate
- convergence speed
- step size
- learning rate
- image restoration and reconstruction
- primal dual
- total variation
- quadratic programming
- convex relaxation
- gradient method
- numerical stability
- optimization problems
- optimization algorithm
- multiscale
- optimization methods
- optimization method
- stochastic gradient descent
- matrix completion
- image processing