000			02860nam a2200313Ia 4500
000			03526nam a22003495i 4500
001			978-3-031-26936-3
003			DE-He213
005			20240319120933.0
007			cr nn 008mamaa
008			230622s2023 sz | s |||| 0|eng d
020			_a9783031269363 _9978-3-031-26936-3
082			_a4.6782
100			_aWang, Dong. _933095
245			_aSocial Edge Computing _cby Dong Wang, Daniel 'Yue' Zhang. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aXVI, 172 p. 60 illus., 50 illus. in color. _bonline resource.
520			_aThe 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. .
650			_aArtificial intelligence. _933096
650			_aArtificial Intelligence. _933097
650			_aCloud Computing. _933098
650			_aCloud Computing. _933098
650			_aInternet of things. _933099
650			_aInternet of Things. _933100
700			_aZhang, Daniel 'Yue'. _933101
856			_uhttps://doi.org/10.1007/978-3-031-26936-3
942			_cEBK _2ddc
999			_c15357 _d15357