OptQuant: Distributed training of neural networks with optimized quantization mechanisms.
Li HeShuxin ZhengWei ChenZhiming MaTie-Yan LiuPublished in: Neurocomputing (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- distributed systems
- feed forward neural networks
- multi agent
- backpropagation algorithm
- multi layer perceptron
- neural network training
- neural network structure
- artificial neural networks
- lightweight
- training patterns
- distributed architecture
- cooperative
- training set
- pattern recognition
- fuzzy logic
- computer networks
- support vector machine
- decision trees
- neural nets
- distributed environment
- radial basis function network
- error back propagation
- data sets
- distributed data
- fuzzy neural network
- multi layer
- feed forward
- mobile agents
- vector quantization
- test set
- training examples
- peer to peer
- supervised learning
- semi supervised
- learning algorithm