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Federated Learning for Multimedia Data Processing and Security in Industry 5.0 - (Computing and Networks) (Hardcover)

Name: Federated Learning for Multimedia Data Processing and Security in Industry 5.0 - (Computing and Networks) (Hardcover)
Brand: Institution of Engineering & Technology
SKU: 1003464710
Price: 129.52 USD
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Details

Highlights

Industry 5.0 is the upcoming industrial revolution where people will be working together with smart machines and robots, thereby bringing human touch and intelligence back to the decision-making process.
Author(s): Gautam Srivastava & Thippa Reddy Gadekallu
346 Pages
Computers, Security
Series Name: Computing and Networks

Description

About the Book

This book explores how federated learning can solve multimedia data processing and security challenges in Industry 5.0, introduces new research paradigms for the security and privacy preservation of multimedia data, and explores the integration of federated learning with other disruptive technologies.

Book Synopsis

Industry 5.0 is the upcoming industrial revolution where people will be working together with smart machines and robots, thereby bringing human touch and intelligence back to the decision-making process. Challenges include the security and privacy of sensitive multimedia data and near zero latency for mission critical applications.

Federated learning is a machine learning technique that trains algorithms across multiple decentralized edge devices or servers by holding local data samples without exchanging them. This approach stands in contrast to traditional centralized machine learning techniques where all local datasets are uploaded to one server. This method enables multiple actors to build a common, robust machine learning model without sharing data, thus addressing critical issues such as data privacy, data security, data access rights and access to heterogeneous data.

The objective of this book is to show how federated learning can solve multimedia data processing and security challenges in Industry 5.0. The book introduces new research paradigms for the security and privacy preservation of multimedia data. It provides a detailed discussion on how federated learning can be used to handle big data, preserve privacy, reduce computational and communication costs; and shows how to integrate federated learning with other disruptive technologies including blockchain, digital twins and 5G and beyond.

Federated Learning for Multimedia Data Processing and Security in Industry 5.0 is an essential reference for advanced students, lecturers, and academic and industry researchers working in the fields of machine learning federated learning, computer and network security, data science, multimedia, computer vision and Industry 5.0 applications.

Specifications

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .81 Inches (D)

Weight: 1.45 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 346

Genre: Computers

Sub-Genre: Security

Series Title: Computing and Networks

Publisher: Institution of Engineering & Technology

Theme: General

Format: Hardcover

Author: Gautam Srivastava & Thippa Reddy Gadekallu

Language: English

Street Date: January 28, 2025

TCIN: 1003464710

UPC: 9781839537578

Item Number (DPCI): 247-02-5154

Origin: Made in the USA or Imported

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Estimated ship dimensions: 0.81 inches length x 6.14 inches width x 9.21 inches height

Estimated ship weight: 1.45 pounds

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