A decentralized adaptive momentum method for solving a class of min-max optimization problems.
Babak BarazandehTianjian HuangGeorge MichailidisPublished in: Signal Process. (2021)
Keyphrases
- min max
- synthetic data
- optimization problems
- experimental evaluation
- cost function
- high precision
- preprocessing
- neural network
- clustering method
- significant improvement
- data sets
- combinatorial optimization
- high accuracy
- objective function
- detection method
- optimization algorithm
- learning rate
- learning algorithm
- segmentation method
- feature space
- support vector machine svm
- training samples
- distributed systems
- artificial neural networks
- support vector machine
- evolutionary algorithm
- k means