Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation.
Ying SunGesualdo ScutariAmir DaneshmandPublished in: SIAM J. Optim. (2022)
Keyphrases
- convergence rate
- gradient method
- global convergence
- faster convergence rate
- convergence speed
- step size
- line search
- learning rate
- primal dual
- optimization algorithm
- global search
- global optimization
- optimization method
- camera network
- faster convergence
- mean shift
- optimization problems
- optimization methods
- particle filter
- numerical stability
- particle swarm
- number of iterations required
- mutation operator
- evolutionary algorithm
- kalman filter
- wavelet neural network
- particle swarm optimization
- cost function