Distributed Adversarial Training to Robustify Deep Neural Networks at Scale.
Gaoyuan ZhangSongtao LuYihua ZhangXiangyi ChenPin-Yu ChenQuanfu FanLee MartieLior HoreshMingyi HongSijia LiuPublished in: CoRR (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- distributed systems
- multi agent
- feedforward neural networks
- distributed environment
- multi layer perceptron
- back propagation
- pattern recognition
- artificial neural networks
- recurrent networks
- distributed data
- activation function
- cooperative
- genetic algorithm
- lightweight
- training set
- rule extraction
- error back propagation
- training patterns
- neural network training
- multilayer perceptron
- fault tolerant
- neural network model
- fuzzy logic
- fault diagnosis
- reinforcement learning
- neural network structure
- hidden markov models
- backpropagation algorithm
- supervised learning
- radial basis function network
- peer to peer
- multi layer
- computer networks
- recurrent neural networks
- communication cost
- fuzzy systems