Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption.
Takumi IshiyamaTakuya SuzukiHayato YamanaPublished in: CoRR (2020)
Keyphrases
- highly accurate
- activation function
- homomorphic encryption
- neural network
- artificial neural networks
- hidden layer
- feed forward
- privacy preserving
- high quality
- learning rate
- neural nets
- back propagation
- multilayer perceptron
- basis functions
- high accuracy
- radial basis function
- data sharing
- network architecture
- fuzzy neural network
- training phase
- data analysis
- random fields
- multi layer perceptron
- public key
- bayesian networks