An adaptive online learning algorithm for distributed convex optimization with coupled constraints over unbalanced directed graphs.
Chuanye GuJueyou LiZhiyou WuPublished in: J. Frankl. Inst. (2019)
Keyphrases
- convex optimization
- directed graph
- learning algorithm
- convex constraints
- random walk
- low rank
- interior point methods
- convex optimization problems
- norm minimization
- primal dual
- total variation
- directed acyclic graph
- convex formulation
- machine learning algorithms
- undirected graph
- training data
- operator splitting
- graph structure
- learning problems
- learning tasks
- motion estimation
- convex relaxation
- linear constraints
- strongly connected
- supervised learning