Integrated differential privacy learning system for edge computing in iot networks

Abstract

As a result of the significant growth of the Internet of Things (IoT), a large nmnber of smart devices are being deployed around the world in various industries, from smart homes and smart cities to industrial automation and connected healthcare. These devices, such as portable health monitors, smart vehicles, and industrial sensors, form a vast network, generating a continuous and massive stream of data. This data provides an unprecedented opportunity to use machine learning to create intelligent applications that can provide accurate predictions and highly personalized services.