Chapter 26: Challenges and opportunities in edge computing architecture using machine learning approaches
Naman Bhoj; Robin Singh Bhadoria Dept. of Computer Science & Engineering, Birla Institute of Applied Sciences (BIAS), Bhimtal, Uttarakhand, India
Abstract
Edge computing and machine learning are some of the most innovative technologies of the 21st century. Machine learning is used in various cases such as predictive analysis, voice recognition, image recognition, health-care analysis, and IoT in both public and private sectors. With the growing popularity of machine learning systems, it is important to discuss a sustainable architecture that is fast, efficient, secure, and scalable to cater to the needs of the industry. Edge computing ...
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