Federated Learning for Smart Communication using IoT Application (Chapman & Hall/CRC Cyber-Physical Systems)
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- Synopsis
- The effectiveness of federated learning in high‑performance information systems and informatics‑based solutions for addressing current information support requirementsis 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.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781040146316
- Related ISBNs:
- 9781032788128, 9781040146415, 9781003489368
- Publisher:
- CRC Press
- Date of Addition:
- 10/29/24
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Kaushal Kishor
- Edited by:
- Parma Nand
- Edited by:
- Vishal Jain
- Edited by:
- Neetesh Saxena
- Edited by:
- Gaurav Agarwal
- Edited by:
- Rani Astya