MARC状态：已编 文献类型：西文图书 浏览次数：3
- 题名/责任者:
- Edge learning for distributed big data analytics : theory, algorithms, and system design / Song Guo, Zhihao Qu.
- 出版发行项:
- Cambridge : Cambridge University Press, 2022.
- 出版发行项:
- ?2022
- ISBN:
- 9781108832373
- 载体形态项:
- x, 1 unnumbered page, 217 pages : illustrations ; 25 cm
- 个人责任者:
- Song, Guo, (Computer scientist), author.
- 附加个人名称:
- Qu, Zhihao, author.
- 论题主题:
- Edge computing.
- 中图法分类号:
- TP393.027
- 书目附注:
- Includes bibliographical references (unnumbered page 190-page 214) and index.
- 摘要附注:
- 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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