Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks.
Muhammed O. SayinN. Denizcan VanliSuleyman Serdar KozatTamer BasarPublished in: IEEE Trans. Netw. Sci. Eng. (2017)
Keyphrases
- convex optimization
- convex optimization problems
- interior point
- interior point methods
- low rank
- convex relaxation
- optimization problems
- machine learning algorithms
- total variation
- optimization methods
- primal dual
- alternating direction method of multipliers
- learning algorithm
- norm minimization
- cutting plane
- input image
- reinforcement learning
- feature extraction
- face recognition