Edge intelligent cooperative protection scheme under the Internet of Bodies environment
To solve the problems of low accuracy and poor universality of existing intelligent models,such as intelligent diagnosis models in the medical field,and the risk of privacy leakage when users use the serv-ices provided by the IoT devices,this paper proposes an edge intelligent collaborative privacy protection scheme under the IoT environment by combining edge computing and federated learning.A federated learn-ing training model based on cloud-edge-end layering is designed,and the comprehensive accuracy is high.A differential privacy algorithm for edge cloud model transmission is proposed,which can obtain strong pri-vacy protection effect with low accuracy loss.The scheme performs well in the simulation test using the breast cancer dataset on the fully connected network,and the experiment verifies the effectiveness of the method for privacy protection.
edge computingfederal learningprivacy protectiondifferential privacyInternet of Bodies
NETL
NSTL
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