Distributed adversarial training to robustify deep neural networks at scale.
Gaoyuan ZhangSongtao LuYihua ZhangXiangyi ChenPin-Yu ChenQuanfu FanLee MartieLior HoreshMingyi HongSijia LiuPublished in: UAI (2022)
Keyphrases
- neural network
- training process
- training algorithm
- backpropagation algorithm
- distributed systems
- feedforward neural networks
- multi agent
- back propagation
- feed forward neural networks
- training set
- scale space
- distributed environment
- multilayer perceptron
- genetic algorithm
- pattern recognition
- artificial neural networks
- communication cost
- multi layer perceptron
- radial basis function network
- neural network training
- feed forward
- test set
- deep architectures
- neural network model
- training phase
- self organizing maps
- neural network structure
- recurrent networks
- deep learning
- error back propagation
- scale invariant
- fuzzy systems
- multi layer
- small scale
- neural nets
- training samples
- online learning
- peer to peer
- supervised learning