Federated Leaing for Smart Communication using IoT Application (Chapman & Hall/CRC Cyber-Physical Systems)

by: Kaushal Kishor (Editor),Parma Nand (Editor),Vishal Jain (Editor),Neetesh Saxena (Editor),Gaurav Agarwal (Editor),Rani Astya (Editor)

Publisher: Chapman and Hall/CRC

Edition: 1st

Publication Date: 2024/10/30

Language: English

Print Length: 260 pages

ISBN-10: 1032788127

ISBN-13: 9781032788128

Book Description

The effectiveness of federated leaing 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 Inteet of Things (IoT) contexts, Federated Leaing for Smart Communication using IoT Application analyses the development of personalized federated leaing 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 leaing for intelligent IoT applications.Features: Demonstrates how federated leaing offers a novel approach to building personalized models from data without invading users’ privacyDescribes how federated leaing may assist in understanding and leaing from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated leaing, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated leaing framework in cloud‑edge and wireless‑edge architecture for intelligent IoT applicationsComprises real‑life case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated leaing‑based intelligent algorithms for smart communications.

About the Author

The effectiveness of federated leaing 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 Inteet of Things (IoT) contexts, Federated Leaing for Smart Communication using IoT Application analyses the development of personalized federated leaing 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 leaing for intelligent IoT applications.Features: Demonstrates how federated leaing offers a novel approach to building personalized models from data without invading users’ privacyDescribes how federated leaing may assist in understanding and leaing from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated leaing, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated leaing framework in cloud‑edge and wireless‑edge architecture for intelligent IoT applicationsComprises real‑life case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated leaing‑based intelligent algorithms for smart communications.