Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation.
Paolo Di LorenzoSimone ScardapanePublished in: CoRR (2020)
Keyphrases
- learning process
- global optimization
- optimization problems
- cooperative
- distributed learning
- learning automata
- convex functions
- convex optimization
- learning problems
- distributed systems
- active learning
- multi agent
- learning tasks
- learning systems
- optimization algorithm
- kernel machines
- stochastic programming
- monte carlo sampling