LEADER 03889nam 22005535 450 001 996546840603316 005 20230622183228.0 010 $a3-031-26936-5 024 7 $a10.1007/978-3-031-26936-3 035 $a(MiAaPQ)EBC30605717 035 $a(Au-PeEL)EBL30605717 035 $a(DE-He213)978-3-031-26936-3 035 $a(PPN)272270822 035 $a(EXLCZ)9927169409200041 100 $a20230622d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Edge Computing$b[electronic resource] $eEmpowering Human-Centric Edge Computing, Learning and Intelligence /$fby Dong Wang, Daniel 'Yue' Zhang 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (184 pages) 311 08$aPrint version: Wang, Dong Social Edge Computing Cham : Springer International Publishing AG,c2023 9783031269356 327 $aA 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. 330 $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. . 606 $aCloud Computing 606 $aArtificial intelligence 606 $aInternet of things 606 $aCloud Computing 606 $aArtificial Intelligence 606 $aInternet of Things 615 0$aCloud Computing. 615 0$aArtificial intelligence. 615 0$aInternet of things. 615 14$aCloud Computing. 615 24$aArtificial Intelligence. 615 24$aInternet of Things. 676 $a005.758 700 $aWang$b Dong$0596182 701 $aZhang$b Daniel 'Yue'$01372537 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546840603316 996 $aSocial Edge Computing$93403469 997 $aUNISA