Federated Learning for Smart Communication using IoT Application, 1st Edition eBook
$30.00
. The effectiveness of federated learning in high?performance information systems and informatics?based solutions for addressing current information support requirements is demonstrated in this book.
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About this eTextbook
. The effectiveness of federated learning in high?performance information systems and informatics?based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions.
It includes case studies of IoT?based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications. Features: Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users’ privacy Describes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacy Presents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the area Analyses the need for a personalized federated learning framework in cloud?edge and wireless?edge architecture for intelligent IoT applications Comprises real?life case illustrations and examples to help consolidate understanding of topics presented in each chapter This book is recommended for anyone interested in federated learning?based intelligent algorithms for smart communications. Federated Learning for Smart Communication using IoT Application 1st Edition and published by Chapman & Hall.
ISBNs for Federated Learning for Smart Communication using IoT Application are 9781040146415, 1040146414 and the print ISBNs are 9781032788128, 1032788127. Additional ISBNs include 9781040146316, 9781003489368.
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About this eTextbook
. The effectiveness of federated learning in high?performance information systems and informatics?based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions.
It includes case studies of IoT?based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications. Features: Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users’ privacy Describes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacy Presents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the area Analyses the need for a personalized federated learning framework in cloud?edge and wireless?edge architecture for intelligent IoT applications Comprises real?life case illustrations and examples to help consolidate understanding of topics presented in each chapter This book is recommended for anyone interested in federated learning?based intelligent algorithms for smart communications. Federated Learning for Smart Communication using IoT Application 1st Edition and published by Chapman & Hall.
ISBNs for Federated Learning for Smart Communication using IoT Application are 9781040146415, 1040146414 and the print ISBNs are 9781032788128, 1032788127. Additional ISBNs include 9781040146316, 9781003489368.
What you receive
- A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
- Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
- Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
- This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.
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