A fast randomized incremental gradient method for decentralized non-convex optimization.
Ran XinUsman A. KhanSoummya KarPublished in: CoRR (2020)
Keyphrases
- convex optimization
- gradient method
- convex formulation
- convergence rate
- interior point methods
- negative matrix factorization
- optimization methods
- primal dual
- step size
- convex relaxation
- total variation
- multiscale
- multiresolution
- document collections
- image restoration
- computer vision
- genetic algorithm
- machine learning