| 书目名称 | Human Digital Twin | | 副标题 | Exploring Connectivi | | 编辑 | Samuel D. Okegbile,Jun Cai,Changyan Yi | | 视频video | | | 概述 | Explores the intricate realm of human digital twin connectivity challenges.Unveils fresh perspectives on future research and paving the way for deeper exploration in the field.Serves as a compass for | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | Human digital twin (HDT) is a transformative technology poised to transform various human-centric systems. With its potential applications in personalized healthcare, HDT promises swift, precise, and efficient healthcare services through the integration of cutting-edge technologies such as artificial intelligence, data analytics, internet of things, cybersecurity as well as virtual and augmented reality. This book addresses the critical gap in the existing literature by offering a comprehensive exploration of connectivity solutions for HDT while prioritizing reliability, security, and privacy. Key topics covered include the foundational concept of HDT, its design requirements and associated challenges, edge-assisted human-to-virtual solutions, blockchain-enabled data-sharing mechanisms, and differentially private federated multi-task learning (DPFML) methodologies tailored for HDT..The discussion on the concept of HDT encompasses an overview of its applications and its specific characteristics when compared to the conventional digital twin models. In addressing the design requirements and challenges of HDT, the text delves into the complexities of securing high-quality data, ensuri | | 出版日期 | Book 2024 | | 关键词 | Human digital twin; Blockchain; Federated multi-task learning; Privacy; Virtual twin; Artificial Intellig | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-57534-1 | | isbn_softcover | 978-3-031-57533-4 | | isbn_ebook | 978-3-031-57534-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2024 |
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发表于 2025-3-21 18:50:49
