A Divide-and-Conquer Algorithm for Distributed Optimization on Networks.
Nazar EmirovGuohui SongQiyu SunPublished in: CoRR (2021)
Keyphrases
- computational cost
- learning algorithm
- cost function
- optimization algorithm
- optimization process
- improved algorithm
- detection algorithm
- times faster
- stochastic gradient
- fully connected
- experimental evaluation
- significant improvement
- np hard
- combinatorial optimization
- computational complexity
- selection algorithm
- matching algorithm
- optimal solution
- preprocessing
- segmentation algorithm
- theoretical analysis
- multi agent
- dynamic programming
- high accuracy
- probabilistic model
- constrained optimization
- objective function
- data sets
- convergence rate
- global optimization
- optimization method
- clustering method
- computationally efficient
- expectation maximization
- particle swarm optimization
- optimization problems