Multimedia Security and Privacy on Real-Time Behavioral Monitoring in Machine Learning IoT Application Using Big Data Analytics

2020 ◽  
pp. 137-156
Author(s):  
R. Ganesh Babu ◽  
K. Elangovan ◽  
Sudhanshu Maurya ◽  
P. Karthika
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Multimedia Security ◽  
Security And Privacy ◽  
Behavioral Monitoring

Edge Learning for Distributed Big Data Analytics

2022 ◽  
Author(s):  
Song Guo ◽  
Zhihao Qu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
System Design ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Security And Privacy ◽  
Learning Performance ◽  
Learning Models ◽  
Key Technologies ◽  
Machine Learning Models

Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.

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