GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
Songtao LuXinwei ZhangHaoran SunMingyi HongPublished in: DSW (2019)
Keyphrases
- optimization algorithm
- objective function
- detection algorithm
- monte carlo
- np hard
- worst case
- global optimization
- dynamic programming
- optimal solution
- k means
- gradient information
- optimization problems
- particle swarm optimization
- constrained optimization
- learning algorithm
- preprocessing
- computational complexity
- optimization method
- kalman filter
- tracking accuracy
- stochastic gradient
- motion segmentation
- matching algorithm
- energy function
- image restoration
- particle filter
- probabilistic model
- cost function
- search space