Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)

Shelly Gupta, Puneet Garg, Jyoti Agarwal

• Publisher: Bentham Science Publishers
• Year: 2024
• eBook ISBN: 9789815313024
• Edition: 0
• Topic: Computer Science
• Subtopic: Neural Networks
• Index: Computer Science

Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features:
- Addresses data privacy, secure communication, and adaptive solutions in IoV
- Explores federated learning applications in real-time IoV systems
- Combines practical examples with theoretical foundations in IoV technology
- Includes emerging research areas in IoV federated learning frameworks Readership:
Ideal for people in R&D industry, manufacturing and automation sectors, IoV engineers, university libraries, researchers, and graduate students.

Table of contents

• Welcome
• Table of Content
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• PREFACE
• List of Contributors
• Technologies to Solve the Routing Issues in IoVs
• Mapping the Intellectual Structure of Internet of Vehicles Research: A Bibliometric Analysis of Emerging Technologies and Applications
• Influence of Wireless Sensor Network in Internet of Vehicles
• Federated Learning in Secure and Reliable Systems for IoVs
• Adaptive Solutions for Data Sharing in IoVs
• Using Natural Language Processing to Improve Safety in the Internet of Vehicles
• Federated Learning-Based Frameworks for Trusted and Secure Communication in IoVs