
Title:
Model optimization methods for efficient and edge AI : federated learning architecture, frameworks and applications
ISBN:
9781394219230
9781394219209
Physical Description:
1 online resource
Contents:
About the Editors -- List of Contributors -- 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.
Local Note:
John Wiley and Sons
Subject Term:
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394219230Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 599543-1001 | Q325.65 .M63 2025 | Searching... | Searching... |
