On the Divergence of Decentralized Non-Convex Optimization.
Mingyi HongSiliang ZengJunyu ZhangHaoran SunPublished in: CoRR (2020)
Keyphrases
- convex optimization
- interior point methods
- low rank
- total variation
- convex optimization problems
- norm minimization
- primal dual
- augmented lagrangian
- convex relaxation
- convex formulation
- machine learning
- semidefinite program
- denoising
- semi definite programming
- low rank matrix
- alternating direction method of multipliers