Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret.
Kaihong LuLong WangPublished in: IEEE Trans. Autom. Control. (2022)
Keyphrases
- optimization problems
- objective function
- online learning
- global optimization
- optimal solution
- lower bound
- evolutionary algorithm
- nonlinear programming
- multi objective
- multi agent
- online algorithms
- higher order
- cost function
- distributed systems
- global optimality
- decision variables
- convex functions
- constrained optimization
- online convex optimization
- optimization algorithm
- sufficient conditions
- cooperative
- distributed environment
- multiple objectives
- mobile agents
- quasiconvex
- subgradient method
- convex optimization
- global optimum
- optimization method
- loss function
- peer to peer
- expert advice
- utility elicitation