| 書目名稱 | Federated Learning for IoT Applications |
| 編輯 | Satya Prakash Yadav,Bhoopesh Singh Bhati,Sachin Ku |
| 視頻video | http://file.papertrans.cn/342/341596/341596.mp4 |
| 概述 | Shows how federated learning utilizes data generated by consumer devices without intruding privacy, allowing machine learning models to deliver personalized services.Analyzes how federated learning pr |
| 叢書名稱 | EAI/Springer Innovations in Communication and Computing |
| 圖書封面 |  |
| 描述 | This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This un |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Edge Computing; Federated Learning; Internet of Things; Distributed Systems; Cybersecurity; Big Data anal |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-85559-8 |
| isbn_softcover | 978-3-030-85561-1 |
| isbn_ebook | 978-3-030-85559-8Series ISSN 2522-8595 Series E-ISSN 2522-8609 |
| issn_series | 2522-8595 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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