Enhancing edge devices with generative intelligence architecture, challenges, and applications /

Bibliographic Details
Corporate Author:	IGI Global Online
Other Authors:	Shakya, Sarbagya Ratna, 1985- (Editor), Shahi, Tej Bahadur, 1984- (Editor), Ceh-Varela, Edgar, 1977- (Editor), Cowling, Michael, 1978- (Editor)
Format:	Electronic eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, [2026]
Subjects:	Edge computing. Generative artificial intelligence > Industrial applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
Chapter 1. Introduction to Generative AI
Chapter 2. Architecture and Frameworks of Generative Edge AI
Chapter 3. Bringing Generative AI to Edge Devices: Techniques, Challenges, and Applications
Chapter 4. Lightweight Architecture and Algorithms for Generative Edge AI
Chapter 5. Emerging Trends and Real-Life Applications of Edge Generative AI
Chapter 6. A Case Study in Generative Edge Al in Education and Learning
Chapter 7. A Multi-Layer IoT Framework for Smart Agriculture to Real-Time Decision-Making and Resource Optimization
Chapter 8. Architecting the Insecure Future: Integrating Generative AI and Edge AI Computing for Next-Gen Applications
Chapter 9. Adaptive Feedback-Bound Generative Architecture (AFGA): A Lightweight Framework for Resource-Aware Text Generation on Edge Devices
Chapter 10. Distributed Compliance Intelligence Edge AI Architectures for AML, KYC, and Transaction Monitoring
Chapter 11. TinyML-Enabled MIoT-Based Real-Time Edge Health Monitoring Using EfficientDet-Lite
Chapter 12. Generative AI for Mental Well-Being and Insights From High and Low Resource Languages
Chapter 13. Generative Edge AI in Healthcare and Management: A Case Study
Compilation of References
About the Contributors
Index.