Advancing Disaster Management Through Federated Learning

A Comprehensive Guide

Edited By: C Kishor Kumar Reddy, Anindya Nag

From £40.99

Discover how Federated Learning (FL) revolutionizes disaster management. This guide explores how FL enhances response and predictive modeling by building powerful AI while maintaining data privacy. It provides a roadmap to protect communities, infrastructure, and lives.

Effective disaster management in an age of more frequent and devastating calamities requires creative solutions. This book explores the revolutionary possibilities of Federated Learning (FL)…

Effective disaster management in an age of more frequent and devastating calamities requires creative solutions. This book explores the revolutionary possibilities of Federated Learning (FL) in crisis management, providing an all-inclusive manual that connects theory with practice. Learn how FL can change the game for disaster response and recovery decision-making, resource allocation, predictive modeling, and information sharing. Readers in the fields of emergency response, governance, research, and technology will find this book’s wealth of real-world case studies and examples to be an important resource. It shows how FL improves catastrophe readiness and response by letting strong models be built while data privacy is maintained across decentralized sources. With a comprehensive roadmap that includes enhancing early warning systems, optimizing resource distribution, and integrating cutting-edge technologies like IoT, blockchain, and advanced AI, this book provides a clear explanation of how to use FL to protect communities, infrastructure, and lives during disasters.

Dr C Kishor Kumar Reddy is currently working as an Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has more than 10 years of research and teaching experience. He has published more than 50 research papers in national and international conferences, book chapters, and journals indexed by Scopus and others. He is an author for 2 textbooks and 7 co-edited books.

Anindya Nag obtained an MSc in Computer Science and Engineering from Khulna University in Khulna, Bangladesh, and a BTech in Computer Science and Engineering from Adamas University in Kolkata, India. He is currently a Lecturer in the Department of Computer Science and Engineering at the Northern University of Business and Technology in Khulna, Bangladesh. His research focuses on health informatics, medical Internet of Things, neuroscience, and machine learning. He serves as a reviewer for numerous prestigious journals and international conferences. He has authored and co-authored about 25 publications, including journal articles, conference papers, book chapters, and has co-edited two books.

Deepika Malve, Meenal H., C Kishor Kumar Reddy, Monika Singh T., Sai Priya Dandothkar, Sumayya Afreen, Asma Begum, Afreen Fatima Mohammed, Ayesha Nuzha, Ashvani Chaudhary, Shiva Pandit, Hina Bansal, Akshita Sunerah, Shugufta Fatima, Anindya Nag, Ushaa Eswaran, Vivek Eswaran, Vishal Eswaran, Keerthna Murali, Kavya Sunki, Sahiti Mummadi, Jothi Paranthaman, Srinath Doss, Monalisha Pattnaik, Sudev Kumar Padhi, B Sudarsan Patro, Ashirbad Mishra, Alipsa Pattnaik, Bikram Ghosh, Riya Sil, Nabaneeta Biswas, Lingala Thirupathi, Ramya G., Thejoramnaresh Reddy Boya, Puppala Mangala Tulasi, Vaishnavi Hagaldivte, Rajesh Belda, Saritha Gattoju, Ashok Galipelli, Aarti Rangarajan, Siramdas Sai Jaahnavi, Deepti Rangarajan, Sahithi Reddy P., Vijay Arputharaj J., Poornima NV, Deeba K., Ramesh Kumar Ayyasamy, Marlia Mohd Hanafia, Mohammad Fakhreldin