Distributed Training of Deep Neural Networks: Convergence and Case Study.
Jacques M. BahiRaphaël CouturierJoseph AzarKevin Kana NguimfackPublished in: ICONIP (8) (2023)
Keyphrases
- neural network
- case study
- training process
- training algorithm
- feed forward neural networks
- cooperative
- feedforward neural networks
- real world
- backpropagation algorithm
- error back propagation
- artificial neural networks
- multi layer perceptron
- training patterns
- distributed systems
- recurrent networks
- neural network training
- back propagation
- distributed environment
- lessons learned
- multilayer perceptron
- lightweight
- pattern recognition
- fuzzy systems
- genetic algorithm
- neural nets
- training phase
- multi agent
- convergence speed
- convergence rate
- fault tolerant
- training set
- mobile agents
- supervised learning
- machine learning
- deep architectures
- weight update
- online training
- peer to peer
- online learning
- unsupervised learning
- deep learning
- learning algorithm
- e learning
- test set
- distributed data
- radial basis function
- computer networks