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020			_a9781394219216
020			_a9781394219230 _qelectronic book
020			_a1394219237 _qelectronic book
020			_a9781394219209 _qelectronic book
020			_a1394219202 _qelectronic book
020			_z9781394219216 _qhardcover
020			_z1394219210 _qhardcover
024	7		_a10.1002/9781394219230 _2doi
035			_a(OCoLC)1468301684
035		9	_a(OCLCCM-Owned)1468301684
040			_aYDX _beng _erda _cYDX _dYDX _dOCLCO _dDG1 _dOCLCL
041			_aeng
049			_aMAIN
050		4	_aQ325.65 _b.M63 2025
245	0	0	_aModel optimization methods for efficient and edge AI : _bfederated learning architecture, frameworks and applications / _cedited by Pethuru Raj Chelliah... [and 4 others].
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2025]
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aAbout 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.
588			_aDescription based on online resource; title from digital title page (viewed on November 27, 2024).
650		0	_aFederated learning (Machine learning) _0http://id.loc.gov/authorities/subjects/sh2024001385
655		4	_aElectronic books.
776	0	8	_cOriginal _z1394219210 _z9781394219216 _w(OCoLC)1442732483
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394219230 _yFull text is available at Wiley Online Library. Click here to view.
942			_2ddc _cER