Compressed Gradient Tracking for Decentralized Optimization with Linear Convergence.
Zhuorui LiYiwei LiaoKun HuangShi PuPublished in: CoRR (2021)
Keyphrases
- steepest descent method
- gauss seidel
- optimization algorithm
- global convergence
- faster convergence
- real time
- convergence speed
- visual tracking
- sequential monte carlo methods
- kalman filter
- step size
- evolutionary multiobjective
- cooperative
- optimization process
- constrained optimization
- particle filtering
- convergence rate
- optimization method
- data structure
- particle filter
- data compression
- optimization problems
- neural network
- global optimization
- reinforcement learning
- edge detection
- highly non linear
- compressed data
- simulated annealing
- semidefinite
- piecewise constant
- robust tracking
- distributed systems
- peer to peer
- object tracking
- closed form
- optimization methods