Model Optimization Methods for Efficient and Edge AI

About the Editors xxi

List of Contributors xxiii

1 Fundamentals of Edge AI and Federated Learning 1
Atefeh Hemmati, Hanieh Mohammadi Arzanagh, and Amir Masoud Rahmani

2 AI Applications – Computer Vision and Natural Language Processing 25
Balakrishnan Chinnaiyan, Sundaravadivazhagan Balasubaramanian, Mahalakshmi Jeyabalu, and Gayathry S. Warrier

3 An Overview of AI Platforms, Frameworks, Libraries, and Processors 43
Pavan Kumar Akkisetty

4 Model Optimization Techniques for Edge Devices 57
Yamini Nimmagadda

5 AI Model Optimization Techniques 87
G. Victor Daniel, M. Trupthi, G. Sridhar Reddy, A. Mallikarjuna Reddy, and K. Hemanth Sai

6 Federated Learning: Introduction, Evolution, Working, Advantages, and Its Application in Various Domains 109
Manoj Kumar Pandey, Naresh Kumar Kar, and Priyanka Gupta

7 Application Domains of Federated Learning 127
S. Annamalai, N. Sangeetha, M. Kumaresan, Dommaraju Tejavarma, Gandhodi Harsha Vardhan, and A. Suresh Kumar

8 Advanced Architectures and Innovative Platforms for Federated Learning: A Comprehensive Exploration 145
Neha Bhati and Narayan Vyas

9 Federated Learning: Bridging Data Privacy and AI Advancements 157
D. Sumathi, Likitha Chowdary Botta, Mure Sai Jaideep Reddy, and Avi Das

10 Securing Edge Learning: The Convergence of Block Chain and Edge Intelligence 169
Rakhi Mutha

11 Training on Edge 197
Yamini Nimmagadda

12 Architectural Patterns for the Design of Federated Learning Systems 223
Vijay Anand Rajasekaran, Jayalakshmi Periyasamy, Madala Guru Brahmam, and Balamurugan Baluswamy

13 Federated Learning for Intelligent IoT Systems: Background, Frameworks, and Optimization Techniques 241
Partha Pratim Ray

14 Enhancing Cybersecurity Through Federated Learning: A Critical Evaluation of Strategies and Implications 281
M. Ashok Kumar, Aliyu Mohammed, S. Sumanth, and V. Sivanantham

15 Blockchain for Securing Federated Learning Systems: Enhancing Privacy and Trust 299
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Kewal Krishan Sharma, Sachin Chaudhary, and Rajneesh Panwar

16 Blockchain-Enabled Secure Federated Learning Systems for Advancing Privacy and Trust in Decentralized AI 321
Pawan Whig, Rattan Sharma, Nikhitha Yathiraju, Anupriya Jain, and Seema Sharma

17 An Edge Artificial Intelligence Federated Recommender System for Virtual Classrooms 341
M. Sirish Kumar, T. Rupa Rani, U. Rakesh, Dyavarashetty Sunitha, and G. Sunil Kumar

18 Federated Learning in Smart Cities 351
Seyedeh Yasaman Hosseini Mirmahaleh and Amir Masoud Rahmani

Index 391