Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)
Elementas #: 155259193

Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)

Elementas #: 155259193

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  • 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.
Publication dateJune, 2023
AuthorDong Wang
Book formatHardcover
GenreComputing & Internet
Pages172
Age groupAdult
Binding typeCase Binding
Series titleNo Series
Fiction/nonfictionNon-Fiction
PublisherSpringer International Publishing
Educational levelHigher
SubgenreArtificial Intelligence
Awards wonNSF CAREER Award, Google Faculty Research Award, Young Investigator Program (YIP) Award from Army Research Office, NSF CRII Award, Wing Kai Cheng Fellowship from University of Illinois, the Best Paper Award of 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM), the Best Paper Award of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), the Best Paper Award Candidate from 8th IEEE International Conference on Smart Computing (SMARTCOMP)
Original languagesEnglish
Edu focusTechnology
Recording time0 min
Is collectibleN
Bisac subject headingComputers
Edition2023 Edition
LanguageEnglish
Pub date2023-06-23
Item Weight1.5 lbs (680 grams)

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Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)

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