Integration of Federated Learning and Blockchain for Smart Cities
1st Edition
Published on 10. October 2025
Book
Hardback
752 pages
978-1-394-16645-9 (ISBN)
Description
Stay ahead of the curve in urban innovation with this essential guide that provides a comprehensive roadmap for federated learning and blockchain to build secure, intelligent, and efficient smart city ecosystems.
As cities grow smarter, the demand for secure, decentralized, and privacy-preserving technologies is greater than ever. This book explores how federated learning and blockchain are transforming urban landscapes by enabling intelligent, secure, and efficient systems. By combining the power of decentralized machine learning with the transparency and security of blockchain, this book provides a roadmap for tackling challenges in urban mobility, energy management, public safety, and healthcare, delving into theoretical frameworks, architectural designs, security considerations, and real-world case studies to illustrate the impact of these technologies. This book serves as a comprehensive guide for researchers, industry professionals, and policymakers seeking to understand, implement, and innovate within smart city ecosystems.
Readers will find the volume:
Explores the synergy between federated learning and blockchain, offering cutting-edge solutions for smart city challenges;
Addresses critical issues of data privacy, decentralized AI, and secure digital infrastructure in urban environments;
Features practical case studies on smart transportation, energy management, healthcare, and governance;
Provides a forward-looking perspective on how emerging technologies will shape the cities of tomorrow.
Audience
Academics, researchers, industry professionals, and policymakers working in the fields of artificial intelligence, machine learning, blockchain, IoT, cybersecurity, smart city planning, and urban technology development.
As cities grow smarter, the demand for secure, decentralized, and privacy-preserving technologies is greater than ever. This book explores how federated learning and blockchain are transforming urban landscapes by enabling intelligent, secure, and efficient systems. By combining the power of decentralized machine learning with the transparency and security of blockchain, this book provides a roadmap for tackling challenges in urban mobility, energy management, public safety, and healthcare, delving into theoretical frameworks, architectural designs, security considerations, and real-world case studies to illustrate the impact of these technologies. This book serves as a comprehensive guide for researchers, industry professionals, and policymakers seeking to understand, implement, and innovate within smart city ecosystems.
Readers will find the volume:
Explores the synergy between federated learning and blockchain, offering cutting-edge solutions for smart city challenges;
Addresses critical issues of data privacy, decentralized AI, and secure digital infrastructure in urban environments;
Features practical case studies on smart transportation, energy management, healthcare, and governance;
Provides a forward-looking perspective on how emerging technologies will shape the cities of tomorrow.
Audience
Academics, researchers, industry professionals, and policymakers working in the fields of artificial intelligence, machine learning, blockchain, IoT, cybersecurity, smart city planning, and urban technology development.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Weight
666 gr
ISBN-13
978-1-394-16645-9 (9781394166459)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Krishna Kant Singh | Akansha Singh | Mahesh T. R.
Integration of Federated Learning and Blockchain for Smart Cities
E-Book
09/2025
1st Edition
Wiley
€295.99
Available for download
Krishna Kant Singh | Akansha Singh | Mahesh T. R.
Integration of Federated Learning and Blockchain for Smart Cities
E-Book
09/2025
1st Edition
Wiley
€295.99
Available for download
Persons
Krishna Kant Singh, PhD is the Director at the Delhi Technical Campus, Greater Noida, India. He has authored 25 books and over 160 research papers in international journals. He is an associate editor of IEEE Transactions on Computational Social Systems, and Senior editor of IEEE Access. His research interests include machine vision, remote sensing, deep learning, and generative AI.
Akansha Singh, PhD is a professor in the School of Computer Science, Engineering, and Technology at Bennett University, Greater Noida, India, with over 18 years of teaching and research experience. She has published over 100 research papers and authored over 30 books in advanced areas of computer science. Her expertise spans image processing, deep learning, machine learning, remote sensing, and IoT, with a strong focus on AI-driven solutions for healthcare and environmental sustainability.
Mahesh T.R., PhD is the Program Head of the Department of Computer Science and Engineering in the School of Engineering and Technology, at Jain (Deemed-to-be University), Bengaluru, India. He has published over 180 research articles in international and edited several books. His research interests include image processing, machine learning, deep learning, artificial intelligence, IoT, and data science.
Akansha Singh, PhD is a professor in the School of Computer Science, Engineering, and Technology at Bennett University, Greater Noida, India, with over 18 years of teaching and research experience. She has published over 100 research papers and authored over 30 books in advanced areas of computer science. Her expertise spans image processing, deep learning, machine learning, remote sensing, and IoT, with a strong focus on AI-driven solutions for healthcare and environmental sustainability.
Mahesh T.R., PhD is the Program Head of the Department of Computer Science and Engineering in the School of Engineering and Technology, at Jain (Deemed-to-be University), Bengaluru, India. He has published over 180 research articles in international and edited several books. His research interests include image processing, machine learning, deep learning, artificial intelligence, IoT, and data science.
Content
Preface xxiii
Part I: Introduction and Fundamentals 1
1 Unlocking the Potential of Smart Cities: A Study of the Internet of Things and Artificial Intelligence Integration 3
Anuradha Dhull, Tripti Sharma, Shilpa Mahajan and Akansha Singh
2 Cutting Edge Smart IoT Applications: Transforming Everyday Life 27
Anuradha Dhull, Anshita Gera, Monika Lamba and Akansha Singh
3 Federated Learning in Smart Cities 57
Suman Chahar and Kuldeep Kaswan
4 Blockchain Revolutionizing Tourism Supply Chain Management: Transparency, Traceability, and Security 81
Suresh N., Sundar Rajan S. and Anitha G.
Part II: Core Technologies and Methodologies 123
5 Enhancing Threshold Cryptosystems with Blockchain Technology: A Cost-Effective and Scalable Approach Using Smart Contracts and ZkSNARKs 125
Rahul Raghavan Tharammal
6 Perspective of Blockchain, Federated Learning, Smart Cities, and Economy 151
Rahul Vadisetty
7 Federal Learning Approach for Smart Cities 173
Rahul Vadisetty
8 Federated Learning Applications in Retail, Finance, and Banking for Smart Cities 195
Madhuri Gupta, Prince Gupta and Sameer Malik
Part III: Integration of Technologies for Smart Cities 223
9 Leveraging Blockchain and Federated Learning for Smart Cities 225
Umesh Gupta, Gopal Singh Rawat, Jay Vardhan Singh and Akshat Jain
10 Integrating Blockchain and Federated Learning for Enhanced Security and Privacy in Smart Cities 257
Dipali Sarvate, Siddharth Shankar Mishra, V. Shanmugapriya and Dheerendra Panwar
11 Harnessing Federated Learning for Smart City Data Management in Cloud Environments 289
Naween Kumar, Akansha Singh, Vaibhav Saini, Ankit Dubey, Subham Sharma, Sasmita Pathy and Krishna Kant Singh
Part IV: Applications and Case Studies 325
12 Smart Environments-A Fusion of Technology and Context-Aware Systems 327
Ashima Narang, Poonam Sharma, Akansha Singh and Krishna Kant Singh
13 Federated Learning Applications for Urban Intelligence: A Holistic Examination in Retail, Finance, and Banking 351
Baskar Kasi, Saravanan Ramalingam, T. Sathish Kumar and A. Mohan
14 Innovative Urban Data Processing: Federated Learning and Blockchain in Smart City Ecosystems 391
Naween Kumar, Akansha Singh, Subham Sharma, Ankit Dubey, Vaibhav Saini and Krishna Kant Singh
15 Transforming Urban Landscapes: The Role of IoT and Drones in Smart City Development 427
Naween Kumar, Akansha Singh, Vaibhav Saini, Subham Sharma, Sahani Pooja Jaiprakash and Krishna Kant Singh
16 Next-Generation Urban Infrastructure: Leveraging Cloud and Edge Computing for Smart City Development 467
Naween Kumar, Akansha Singh, Sahani Pooja Jaiprakash, Vaibhav Saini, Subham Sharma and Krishna Kant Singh
Part V: Governance and Societal Impacts 503
17 Blockchain, Governance, and Government for Smart Cities 505
Rahul Vadisetty
18 Internet of Things and Artificial Intelligence in Smart Cities 529
Ashutosh Srivastava, Divya Srivastava, Madhushi Verma, Arpita Singh, Ishita Adhikari and Ayan Singh Rana
19 Effectiveness of Education and Blockchain for Smart Cities 549
Rahul Vadisetty
Part VI: Advanced Applications and Future Directions 571
20 Data Science and Big Data Analytics for Enhanced Urban Planning in Smart Cities 573
Naween Kumar, Akansha Singh, Vaibhav Saini, Ankit Dubey, Subham Sharma and Krishna Kant Singh
21 Enhancement of Smart Cities Through Blockchain 611
Anand Polamarasetti
22 Federated Learning in Image Processing for Clothes Recognition 635
Madhuri Gupta, Harhsit Budhraja, Nipun Bhardwaj, Lakshit Agarwal, Ritvik Singh and Richa Chaturvedi
23 Performance Analysis of Segmentation Techniques for Knee Osteoarthritis Detection from X-Ray Images 659
Shashikala H.K. and Suresh M.B.
24 Blockchain for Smart Industry Management 683
Priya N. and Sudhagar Kalyanasundaram
References 707
About the Editors 711
Index 713
Part I: Introduction and Fundamentals 1
1 Unlocking the Potential of Smart Cities: A Study of the Internet of Things and Artificial Intelligence Integration 3
Anuradha Dhull, Tripti Sharma, Shilpa Mahajan and Akansha Singh
2 Cutting Edge Smart IoT Applications: Transforming Everyday Life 27
Anuradha Dhull, Anshita Gera, Monika Lamba and Akansha Singh
3 Federated Learning in Smart Cities 57
Suman Chahar and Kuldeep Kaswan
4 Blockchain Revolutionizing Tourism Supply Chain Management: Transparency, Traceability, and Security 81
Suresh N., Sundar Rajan S. and Anitha G.
Part II: Core Technologies and Methodologies 123
5 Enhancing Threshold Cryptosystems with Blockchain Technology: A Cost-Effective and Scalable Approach Using Smart Contracts and ZkSNARKs 125
Rahul Raghavan Tharammal
6 Perspective of Blockchain, Federated Learning, Smart Cities, and Economy 151
Rahul Vadisetty
7 Federal Learning Approach for Smart Cities 173
Rahul Vadisetty
8 Federated Learning Applications in Retail, Finance, and Banking for Smart Cities 195
Madhuri Gupta, Prince Gupta and Sameer Malik
Part III: Integration of Technologies for Smart Cities 223
9 Leveraging Blockchain and Federated Learning for Smart Cities 225
Umesh Gupta, Gopal Singh Rawat, Jay Vardhan Singh and Akshat Jain
10 Integrating Blockchain and Federated Learning for Enhanced Security and Privacy in Smart Cities 257
Dipali Sarvate, Siddharth Shankar Mishra, V. Shanmugapriya and Dheerendra Panwar
11 Harnessing Federated Learning for Smart City Data Management in Cloud Environments 289
Naween Kumar, Akansha Singh, Vaibhav Saini, Ankit Dubey, Subham Sharma, Sasmita Pathy and Krishna Kant Singh
Part IV: Applications and Case Studies 325
12 Smart Environments-A Fusion of Technology and Context-Aware Systems 327
Ashima Narang, Poonam Sharma, Akansha Singh and Krishna Kant Singh
13 Federated Learning Applications for Urban Intelligence: A Holistic Examination in Retail, Finance, and Banking 351
Baskar Kasi, Saravanan Ramalingam, T. Sathish Kumar and A. Mohan
14 Innovative Urban Data Processing: Federated Learning and Blockchain in Smart City Ecosystems 391
Naween Kumar, Akansha Singh, Subham Sharma, Ankit Dubey, Vaibhav Saini and Krishna Kant Singh
15 Transforming Urban Landscapes: The Role of IoT and Drones in Smart City Development 427
Naween Kumar, Akansha Singh, Vaibhav Saini, Subham Sharma, Sahani Pooja Jaiprakash and Krishna Kant Singh
16 Next-Generation Urban Infrastructure: Leveraging Cloud and Edge Computing for Smart City Development 467
Naween Kumar, Akansha Singh, Sahani Pooja Jaiprakash, Vaibhav Saini, Subham Sharma and Krishna Kant Singh
Part V: Governance and Societal Impacts 503
17 Blockchain, Governance, and Government for Smart Cities 505
Rahul Vadisetty
18 Internet of Things and Artificial Intelligence in Smart Cities 529
Ashutosh Srivastava, Divya Srivastava, Madhushi Verma, Arpita Singh, Ishita Adhikari and Ayan Singh Rana
19 Effectiveness of Education and Blockchain for Smart Cities 549
Rahul Vadisetty
Part VI: Advanced Applications and Future Directions 571
20 Data Science and Big Data Analytics for Enhanced Urban Planning in Smart Cities 573
Naween Kumar, Akansha Singh, Vaibhav Saini, Ankit Dubey, Subham Sharma and Krishna Kant Singh
21 Enhancement of Smart Cities Through Blockchain 611
Anand Polamarasetti
22 Federated Learning in Image Processing for Clothes Recognition 635
Madhuri Gupta, Harhsit Budhraja, Nipun Bhardwaj, Lakshit Agarwal, Ritvik Singh and Richa Chaturvedi
23 Performance Analysis of Segmentation Techniques for Knee Osteoarthritis Detection from X-Ray Images 659
Shashikala H.K. and Suresh M.B.
24 Blockchain for Smart Industry Management 683
Priya N. and Sudhagar Kalyanasundaram
References 707
About the Editors 711
Index 713