Private and Scalable Personal Data Analytics using a Hybrid Edge-Cloud Deep Learning

TitlePrivate and Scalable Personal Data Analytics using a Hybrid Edge-Cloud Deep Learning
Publication TypeJournal Article
Year of Publication2018
AuthorsOsia, S. A., A. S. Shamsabadi, A. Taheri, H. R. Rabiee, and H. Haddadi
JournalIEEE Computer
Volume51
Issue5
Start Page42
Pagination42-49
Date Published05/2018
ISSN1558-0814
Accession Number17788152
Other NumbersPrint ISSN: 0018-9162
KeywordsDeep Learning, Edge Computing, Privacy
AbstractAlthough 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 analytics.
DOI<a href="http://dx.doi.org/10.1109/MC.2018.2381113&amp;amp;quot;&amp;amp;gt;10.1109/MC.2018.2381113&amp;amp;lt;/a&amp;amp;gt;&amp;quot;&amp;gt;&amp;amp;lt;a href=&amp;amp;quot;http://dx.doi.org/10.1109/MC.2018.2381113&amp;amp;quot;&amp;amp;gt;10.1109/MC.2

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