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155259193
Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)
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Vara #:
155259193
ISK 26608
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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 date | June, 2023 |
| Author | Dong Wang |
| Book format | Hardcover |
| Genre | Computing & Internet |
| Pages | 172 |
| Age group | Adult |
| Binding type | Case Binding |
| Series title | No Series |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Springer International Publishing |
| Educational level | Higher |
| Subgenre | Artificial Intelligence |
| Awards won | NSF 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 languages | English |
| Edu focus | Technology |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Computers |
| Edition | 2023 Edition |
| Language | English |
| Pub date | 2023-06-23 |
| Item Weight | 1.5 lbs (680 grams) |
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Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, (Hardcover)
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ISK 26608
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