Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System DesignКНИГИ » НАУКА И УЧЕБА
Название: Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design Автор: Song Guo Издательство: Cambridge University Press Год: 2022 Формат: PDF Страниц: 231 Размер: 10 Mb Язык: English
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.
Навигация
Вход на сайт
Реклама
Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design 
