Get Free Shipping on orders over $79
Federated Learning for Smart Communication using IoT Application : Chapman & Hall/CRC Cyber-Physical Systems - Kaushal Kishor

Federated Learning for Smart Communication using IoT Application

By: Kaushal Kishor (Editor), Parma Nand (Editor), Vishal Jain (Editor), Neetesh Saxena (Editor), Rani Astya (Editor)

eText | 30 October 2024 | Edition Number 1

At a Glance

eText


$118.80

or 4 interest-free payments of $29.70 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Artificial Intelligence

AI-Powered Search - Trey Grainger

eBOOK

AI : The End of Human Race - Alex Wood

eBOOK