Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 1
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Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 1
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Author : Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-12-13
Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 1 written by Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
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
Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 2
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Author : Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-04-25
Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 2 written by Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
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.
Driving Innovation At The Intersection Of Renewable Energy And The Internet Of Vehicles
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Author : Ouaissa, Mariyam
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Driving Innovation At The Intersection Of Renewable Energy And The Internet Of Vehicles written by Ouaissa, Mariyam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Technology & Engineering categories.
The Internet of Vehicles (IoV) is revolutionizing transportation by enabling smarter, more connected mobility solutions in urban environments. However, the rapid expansion of connected vehicles and infrastructure brings significant energy demands that challenge sustainability goals. Addressing these concerns through green IoV strategies is essential to reduce the environmental impact of modern transportation systems. Achieving energy efficiency in IoV not only helps mitigate fuel and electricity consumption but also ensures long-term viability of smart city technologies. As cities continue to adopt intelligent transport networks, sustainable energy practices in vehicular systems become critical to balancing innovation with environmental responsibility. Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles explores the innovative fusion of renewable energy sources with the IoV, driving the transformation toward eco-friendly and energy-efficient transportation systems. It delves into the integration of green technologies like solar, wind, and energy-efficient communications to reduce the environmental impact of vehicular networks. Covering topics such as artificial intelligence, machine learning, and sustainability, this book is an excellent resource for academicians, researchers, engineers, policymakers, and more.
Ai S Role In Enhanced Automotive Safety
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Author : Vyas, Vikas
language : en
Publisher: IGI Global
Release Date : 2025-05-01
Ai S Role In Enhanced Automotive Safety written by Vyas, Vikas and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Technology & Engineering categories.
Artificial intelligence (AI) plays a transformative role in enhancing automotive safety, revolutionizing how vehicles prevent accidents and protect passengers. By integrating advanced sensors, real-time data analysis, and machine learning algorithms, AI enables cars to detect hazards, predict potential collisions, and respond fast. From driver-assistance features like automatic emergency braking and lane assistance, to the development of fully autonomous vehicles, AI reshapes the landscape of road safety. As technology evolves, AI's role in minimizing human error and improving safe, smart transportation begs further exploration. AI's Role in Enhanced Automotive Safety explores AI-driven advancements in automotive safety, highlights possible obstacles to widespread adoption, and offers policy suggestions. It examines the possible impacts of AI-driven technology on vehicle safety. This book covers topics such as deep learning, neural networks, and sensor technology, and is a useful resource computer, civil, and mechanical engineers, automotive business owners, urban developers, academicians, researchers, and data scientists.
Artificial Intelligence Of Things
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Author : Rama Krishna Challa
language : en
Publisher: Springer Nature
Release Date : 2023-12-02
Artificial Intelligence Of Things written by Rama Krishna Challa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-02 with Computers categories.
These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30–31, 2023. The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems
Federated Learning For Internet Of Vehicles
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Author : Shelly Gupta
language : en
Publisher:
Release Date : 2024
Federated Learning For Internet Of Vehicles written by Shelly Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Artificial intelligence categories.
Mobile Networks And Management
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Author : Carlos T. Calafate
language : en
Publisher: Springer Nature
Release Date : 2022-01-17
Mobile Networks And Management written by Carlos T. Calafate and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 11th International Conference on Mobile Networks and Management, MONAMI 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 26 full papers were carefully reviewed and selected from 53 submissions. The papers are divided into groups of content as follows: The application of artificial intelligence for smart city; Advanced technology in edge and fog computing; Emerging technologies and applications in mobile networks and management; and Recent advances in communications and computing.
Federated Learning
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Author : Qiang Yang
language : en
Publisher: Springer Nature
Release Date : 2020-11-25
Federated Learning written by Qiang Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Computers categories.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Edge Ai
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Author : Xiaofei Wang
language : en
Publisher: Springer Nature
Release Date : 2020-08-31
Edge Ai written by Xiaofei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.
As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
The Internet Of Things
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Author : Daniel Giusto
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
The Internet Of Things written by Daniel Giusto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-10 with Technology & Engineering categories.
This book constitutes the proceedings from the 20th Tyrrhenian Workshop on Digital Communications, held September 2009 in Pula, Sardinia, Italy and focused on the "Internet of Things."