Applications of Federated Learning in Technological Advancements
eBook - ePub

Applications of Federated Learning in Technological Advancements

Use Cases and Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applications of Federated Learning in Technological Advancements

Use Cases and Applications

About this book

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning's role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning's transformative potential, offering practical strategies for intelligent systems and sustainable environments.

The book particularly:

  • Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applications
  • Describes the different optimization techniques of federated learning systems from a practical point of view
  • Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standards
  • Provides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twins
  • Offers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issues

It covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.

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Yes, you can access Applications of Federated Learning in Technological Advancements by S. Jayachitra,A. Prasanth,Rajesh Kumar Dhanaraj,Balasubramaniam S,Danilo Pelusi in PDF and/or ePUB format, as well as other popular books in Computer Science & Application Development. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. About the Editors
  8. List of Contributors
  9. 1 Journey toward Federated Learning: Fundamentals, Tools Paradigms, Opportunities, and Challenges
  10. 2 Federated Learning-Based Algorithms for Deployment and Model Optimization
  11. 3 Automation of AI and IoT-Based Data-Driven Decision-Making Approaches Using Federated Learning Systems
  12. 4 Federated Learning for Sustainable Development Using IoT/Edge Computing System
  13. 5 Advances in 5G/6G-Enabled Federated Reinforcement Learning in IoT
  14. 6 Blockchain-Integrated Federated Learning for IoT-Based Smart Applications
  15. 7 Federated Learning in Heterogeneous Unmanned Aerial Vehicle
  16. 8 Advanced Technologies for Federated Learning in Smart Cities and Its Use Cases
  17. 9 Federated Deep Learning for Cyber-Physical Systems in Real-World Scenarios
  18. 10 Use Cases and Scenarios for Federated Learning Adoption in IoT
  19. Index