A federated binarized neural network model for constrained devices in IoT healthcare services.
Hyeontaek OhJongmin YuNakyoung KimDongyeong KimJangwon LeeJinhong YangPublished in: ICAIIC (2022)
Keyphrases
- neural network model
- neural network
- smart objects
- artificial neural networks
- location information
- ubiquitous computing
- network architecture
- web services
- rbf neural network
- input variables
- mobile applications
- cloud computing
- management system
- using artificial neural networks
- home care
- neural models
- network services
- bp neural network
- network infrastructure
- service providers
- multilayer perceptron
- medical devices
- health care
- ubiquitous computing environments
- intelligent environments
- smart phones
- information systems
- context aware
- digital libraries
- big data
- health monitoring systems
- mobile devices
- distributed systems
- location aware
- rbf network
- back propagation
- hopfield network
- trust relationships
- everyday objects
- service discovery
- dynamic characteristics
- wireless technologies
- mobile terminals
- pervasive computing
- multi layer perceptron
- communication technologies
- ambient intelligence
- input image
- genetic algorithm