Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation.
Paolo Di LorenzoSimone ScardapanePublished in: ACSSC (2019)
Keyphrases
- learning process
- learning algorithm
- learning systems
- optimization problems
- global optimization
- distributed learning
- multi agent
- convex optimization
- objective function
- supervised learning
- learning tasks
- monte carlo sampling
- reinforcement learning
- online learning
- neural network
- monte carlo
- learning automata
- discrete random variables