CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression.
Zhize LiPeter RichtárikPublished in: CoRR (2021)
Keyphrases
- convex optimization
- low rank
- interior point methods
- convex optimization problems
- total variation
- convex programming
- norm minimization
- machine learning
- semidefinite program
- image compression
- convex formulation
- primal dual
- operator splitting
- alternating direction method of multipliers
- convex relaxation
- image reconstruction
- image classification
- optimization problems
- image sequences