Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking.
Ying SunAmir DaneshmandGesualdo ScutariPublished in: CoRR (2019)
Keyphrases
- convergence rate
- global convergence
- faster convergence rate
- convergence speed
- gradient method
- step size
- optimization problems
- learning rate
- optimization methods
- combinatorial optimization
- primal dual
- global optimization
- computational efficiency
- computationally efficient
- conjugate gradient
- neural network
- objective function
- computational complexity
- mean shift
- learning algorithm
- particle filter
- line search