A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization.
Ran XinUsman A. KhanSoummya KarPublished in: CoRR (2020)
Keyphrases
- gradient method
- convex formulation
- derivative free
- optimization methods
- convex relaxation
- convergence rate
- convex optimization
- optimization algorithm
- log likelihood function
- step size
- optimization problems
- optimization method
- objective function
- global optimization
- multiscale
- globally optimal
- particle swarm optimization
- signal processing
- constrained optimization
- negative matrix factorization
- nearest neighbor
- knowledge discovery