Social edge computing : empowering human-centric edge computing, learning and intelligence / Dong Wang, Daniel 'Yue' Zhang.
Wang, Dong.; Zhang, Yue, 1990-
2023
QA76.583
Available Online

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Title Social edge computing : empowering human-centric edge computing, learning and intelligence / Dong Wang, Daniel 'Yue' Zhang.
Author Wang, Dong.
ISBN 9783031269363 (electronic bk.)
3031269365 (electronic bk.)
3031269357
9783031269356
DOI https://doi.org/10.1007/978-3-031-26936-3
Imprint Cham : Springer, 2023.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-031-26936-3 doi
Call Number QA76.583
Dewey Decimal Classification 004.67/8
Summary The rise of the Internet of Things (IoT) and Artificial Intelligence (AI) leads to the emergence of edge computing systems that push the training and deployment of AI models to the edge of networks for reduced bandwidth cost, improved responsiveness, and better privacy protection, allowing for the ubiquitous AI that can happen anywhere and anytime. Motivated by the above trend, this book introduces a new computing paradigm, the Social Edge Computing (SEC), that empowers human-centric edge intelligent applications by revolutionizing the computing, intelligence, and the training of the AI models at the edge. The SEC paradigm introduces a set of critical human-centric challenges such as the rational nature of edge device owners, pronounced heterogeneity of the edge devices, real-time AI at the edge, human and AI interaction, and the privacy of the edge users. The book addresses these challenges by presenting a series of principled models and systems that enable the confluence of the computing capabilities of devices and the domain knowledge of the people, while explicitly addressing the unique concerns and constraints from humans. Compared to existing books in the field of edge computing, the vision of this book is unique: we focus on the social edge computing (SEC), an emerging paradigm at the intersection of edge computing, AI, and social computing. This book discusses the unique vision, challenges and applications in SEC. To our knowledge, keeping humans in the loop of edge intelligence has not been systematically reviewed and studied in an existing book. The SEC vision generalizes the current machine-to-machine interactions in edge computing (e.g., mobile edge computing literature), and machine-to-AI interactions (e.g., edge intelligence literature) into a holistic human-machine-AI ecosystem. .
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 29, 2023).
Added Author Zhang, Yue, 1990-
Available in Other Form Print version: 9783031269356
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
A New Human-centric Computing Age at Edge
Social Edge Trends and Applications
Rational Social Edge Computing
Taming Heterogeneity in Social Edge Computing
Real-time AI in Social Edge
Human-AI Interaction
Privacy in Social Edge
Further Readings
Conclusion and Remaining Challenges.

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