Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning
Abstract
Although the ability to collect, collate, and analyze the vast amount of data generated from cyber-physical systems and Internet of Things devices can be beneficial to both users and industry, this process has led to a number of challenges, including privacy and scalability issues. The authors present a hybrid framework where user-centered edge devices and resources can complement the cloud for providing privacy-aware, accurate, and efficient...
Paper Details
Title
Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning
Published Date
May 1, 2018
Journal
Volume
51
Issue
5
Pages
42 - 49
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