Shelly Gupta eBooks
eBooks di Shelly Gupta di Formato Epub
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 2). E-book. Formato EPUB Shelly Gupta - Bentham Science Publishers., 2025 -
Federated Learning for Internet of Vehicles: IoV Image Processing, Vision, and Intelligent Systems (Volume 3) explores how federated learning is revolutionizing the Internet of Vehicles (IoV) by enabling secure, decentralized, and scalable solutions. Combining theoretical insights with practical applications, this book addresses key challenges such as data privacy, heterogeneous information, and network latency in IoV systems.This volume offers cutting-edge strategies to build intelligent, resilient vehicular systems, from privacy-enhanced data collection to blockchain-based payments, smart transportation systems, and vehicle number plate recognition. It highlights how federated learning drives advancements in secure data sharing, identity-based authentication, and real-time road safety improvements. Key Features:- In-depth exploration of federated learning applications in IoV.- Solutions for privacy, security, and scalability challenges.- Practical examples of blockchain integration and smart systems.- Insights into future research directions for IoV. Readership:Ideal for researchers, graduate students, and practitioners in intelligent transportation, IoT, AI, and blockchain technologies.
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1). E-book. Formato EPUB Shelly Gupta - Bentham Science Publishers., 2024 -
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.