Online distributed stochastic learning algorithm for convex optimization in time-varying directed networks.
Jueyou LiChuanye GuZhiyou WuPublished in: Neurocomputing (2020)
Keyphrases
- convex optimization
- directed networks
- learning algorithm
- interior point methods
- low rank
- primal dual
- total variation
- convex relaxation
- communication delays
- operator splitting
- norm minimization
- machine learning algorithms
- reinforcement learning
- convex optimization problems
- learning tasks
- image restoration
- multiscale
- image segmentation