Quantized Gradient Descent Algorithm for Distributed Nonconvex Optimization.
Junya YoshidaNaoki HayashiShigemasa TakaiPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2023)
Keyphrases
- cost function
- optimization algorithm
- objective function
- detection algorithm
- learning algorithm
- preprocessing
- computational complexity
- dynamic programming
- np hard
- stochastic gradient
- optimization problems
- segmentation algorithm
- neural network
- stochastic gradient descent
- global optimization
- optimization method
- expectation maximization
- particle swarm optimization
- simulated annealing
- computational cost
- image compression
- search space
- multi objective
- optimal solution
- decision trees
- matching algorithm
- combinatorial optimization
- worst case
- probabilistic model