A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks.
Nicola BastianelloRuggero CarliLuca SchenatoMarco TodescatoPublished in: CDC (2018)
Keyphrases
- convex optimization
- alternating direction method of multipliers
- total variation
- low rank
- interior point methods
- convex optimization problems
- primal dual
- operator splitting
- convex relaxation
- norm minimization
- basis pursuit
- augmented lagrangian
- image denoising
- convex formulation
- image restoration
- low rank matrix
- semidefinite program
- feature space
- high quality