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Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) - Couverture souple
Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurBentham Science Publishers
- Date d'édition2024
- ISBN 10 9815313045
- ISBN 13 9789815313048
- ReliureBroché
- Langueanglais
- Nombre de pages236
- ÉditeurGarg Puneet, Agarwal Jyoti, Thakur Hardeo Kumar, Yadav Satya Prakash
- Coordonnées du fabricantnon disponible
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Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) (Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems)
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Bentham Science Publishers, 2024
ISBN 10 : 9815313045
ISBN 13 : 9789815313048
Neuf
Couverture souple
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9789815313048_new
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Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) (Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems)
Edité par
Bentham Science Publishers, 2024
ISBN 10 : 9815313045
ISBN 13 : 9789815313048
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9789815313048
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Federated Learning Based Intelligent Systems to Handle Issue
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Amazon Digital Services LLC - Kdp, 2024
ISBN 10 : 9815313045
ISBN 13 : 9789815313048
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9789815313048
Quantité disponible : 2 disponible(s)
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Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) (Paperback)
Edité par
Bentham Science Publishers, 2024
ISBN 10 : 9815313045
ISBN 13 : 9789815313048
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789815313048
Quantité disponible : 1 disponible(s)
Image d'archives
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) (Paperback)
Edité par
Bentham Science Publishers, 2024
ISBN 10 : 9815313045
ISBN 13 : 9789815313048
Neuf
Paperback
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789815313048
Quantité disponible : 1 disponible(s)