Distributed Training and Optimization Of Neural Networks.
Jean-Roch VlimantJunqi YinPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- back propagation
- distributed systems
- optimization problems
- multi layer perceptron
- feed forward neural networks
- backpropagation algorithm
- neural network training
- pattern recognition
- fuzzy logic
- optimization algorithm
- artificial neural networks
- cooperative
- neural nets
- training phase
- global optimization
- distributed environment
- distributed data
- peer to peer
- autonomy oriented computing
- training patterns
- multilayer neural network
- multi agent
- communication cost
- supervised learning
- optimization method
- test set
- training set
- evolutionary algorithm
- simulated annealing
- recurrent networks
- particle swarm optimization
- stochastic gradient descent
- lightweight
- fault diagnosis
- neural network model
- fuzzy neural network
- multilayer perceptron
- constrained optimization
- recurrent neural networks
- optimization process