Convergence of AI, Federated Learning, and Blockchain for Sustainable Development

This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge in the field of IoT-enabled sm...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: Kumar, Mohit (Editor), Nayyar, Anand (Editor), Singh, Ashutosh Kumar (Editor), Guo, Yanhui (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Series:Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
Subjects:
Acceso en liña:https://doi.org/10.1007/978-3-031-80949-1
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505 0 |a Convergence of AI, Federated learning and Blockchain -- AI for expert system -- Natural Language processing for industry 4.0 -- Design and development of autonomous systems -- Decision-Making Techniques for Analytical Systems -- Smart Computational Techniques for IoT applications -- Federated Learning for advanced healthcare -- Federated learning for privacy preserving -- Secure computation for IoT applications -- Analysis and Implementation of Security using Federated Systems -- Development of Federated Learning Recommendation Systems -- Development of Intelligent Productive Federated Learning Systems -- AI and Federated Learning for Sustainable Development Systems Industry 4.0 -- Role of Blockchain Techniques for Sustainable Development -- Blockchain with smart contacts for real-time applications -- Trustworthy AI in Cybersecurity -- Case study based upon smart cities, home and agriculture using AI and Blockchain -- Sustainable Development using Blockchain Technology -- Traceability and Transparency issues in Transactions using Blockchain Techniques -- Emerging Trends and future directions of AI assisted Blockchain and Federated Learning for Sustainable Development Systems. 
520 |a This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge in the field of IoT-enabled smart systems, Industry 4.0, networking, cyber-physical system, computing paradigms, and security with various tools and methods used for industry-oriented intelligent-based IoT applications. This advanced research edited book focuses on emerging and advancing technology-federated machine learning, blockchain, and artificial intelligence for real-time Internet of things (IoT) application to solve the real-world problems and make the life of human more conformable. The objective of the proposed book is to develop privacy preserving model for IoT applications and improve the security, privacy, reliability, and sustainability of the systems. This book motivates and enhances the quality of research and commercialization in the fields of AI, Industry 4.0, federated learning, and blockchain. 
532 8 |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. 
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650 0 |a Sustainability. 
650 0 |a Blockchains (Databases). 
650 0 |a Artificial intelligence. 
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