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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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Kumar, Mohit (Editor), Nayyar, Anand (Editor), Singh, Ashutosh Kumar (Editor), Guo, Yanhui (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-031-80949-1
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Taula de continguts:
  • 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.