Model Optimization Methods for Efficient and Edge AI : Federated Learning Architectures, Frameworks and Applications
Model Optimization Methods for Efficient and Edge AI : Federated Learning Architectures, Frameworks and Applications
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Author(s): Chelliah
Chelliah, Pethuru Raj
Rahmani, Amir Masoud
ISBN No.: 9781394219216
Pages: 432
Year: 202411
Format: Trade Cloth (Hard Cover)
Price: $ 232.92
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

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.


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