Confluence of edge computing and deep learning

Gunawan, Teddy Surya (2022) Confluence of edge computing and deep learning. In: 3rd International Conference on Information Technology, Advanced Mechanical and Electrical Engineering (ICITAMEE 2022), Yogyakarta, Indonesia. (Unpublished)

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Abstract

Massive amounts of data are generated by ubiquitous sensors and smart devices in industries and communities, and ever-increasing processing power is shifting the center of computation and services away from the cloud and toward the network edge. It is difficult to capture psychological, emotional, and physiological states, especially during a pandemic, and to use the sensory data collected within the pandemic management ecosystem. Recent advances in edge computing have shown promising results when it comes to collecting various types of emotional and physical health data from the home environment. Deep learning (DL) applications of the highest caliber can operate in a resource-constrained edge environment, allowing for local processing of data from edge devices and inference relevant to in-home health. This keeps health data close to the user's edge while maintaining the privacy, confidentiality, and low latency of the inferencing system. The recent advances in edge computing and deep learning will be discussed. The confluence of edge computing and deep learning will be explored further.

Item Type:	Conference or Workshop Item (Keynote)
Additional Information:	Invited as keynote speaker in International Conference (for MyRA purpose)
Uncontrolled Keywords:	Edge computing, deep learning, artificial intelligence
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	06 Oct 2022 15:49
Last Modified:	06 Oct 2022 15:49
URI:	http://irep.iium.edu.my/id/eprint/100379

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