Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1)

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

Agarwal, Jyoti
Thakur, Hardeo Kumar
Garg, Puneet

Paperback

Series: Federated Learning for Internet of Vehicles: Iov Image Processing, Vision and Intelligent Systems, Book 3

General Computers

ISBN10: 9815313045
ISBN13: 9789815313048
Publisher: Bentham Science Publishers
Published: Dec 13 2024
Pages: 238
Weight: 1.28
Height: 0.62 Width: 7.00 Depth: 10.00
Language: English
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.

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