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Dr Sri Silpa P, Dr. Gera Pradeepini, Dr. S. Saravana Kumar, Mrs. Ch. B. V. Durga
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Release Date: 01-08-2026 | Copyright:©2026 | Pages: 467
ISBN10: 0 | ISBN13: 0
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Secure Swarm Intelligence: Federated Learning for Agentic Coordination explores the convergence of decentralized artificial intelligence and collaborative multi-agent systems. This book examines how federated learning enables secure knowledge sharing among autonomous agents without exposing sensitive data, ensuring privacy-preserving coordination across distributed environments. It highlights architectures, communication protocols, trust mechanisms, and adaptive learning strategies that strengthen collective intelligence while maintaining data sovereignty. Through real-world applications in smart cities, robotics, defense, and edge computing, the book demonstrates how secure swarm systems enhance resilience, scalability, and decision-making efficiency. It serves as a comprehensive guide for researchers and practitioners building next-generation distributed intelligent ecosystems.
This book covers foundational principles of swarm intelligence, multi-agent systems, and federated learning, integrating them into a secure framework for agentic coordination. It discusses decentralized learning architectures, privacy-preserving model aggregation, secure communication protocols, and trust management mechanisms. Topics include adversarial robustness, differential privacy, blockchain-assisted coordination, and edge intelligence deployment. Practical applications in smart cities, autonomous vehicles, robotics swarms, cybersecurity, and distributed healthcare systems are examined. The book also addresses scalability challenges, governance models, ethical considerations, and performance optimization strategies, providing both theoretical foundations and implementation insights for building resilient, privacy-aware, collaborative AI ecosystems.
Dr. Sri Silpa Padmanabhuni is a distinguished academician and researcher with over 15 years of experience in Computer Science and Engineering. Currently serving as Head of Department and Associate Professor at Potti Sriramulu Chalavadi Mallikarjuna College of Engineering and Technology, Vijayawada, she specializes in Deep Learning, Internet of Things (IoT), and Artificial Intelligence. She earned her Ph.D. from KL University (2026), focusing on optimistically tuned transfer learning for disease detection in Solanaceae crops.
Her research contributions are extensive, featuring numerous Scopus, WoS, and UGC-CARE indexed publications, along with book chapters published by Wiley and River Publications. She has edited volumes on Deep Learning applications in healthcare and agriculture and holds several published Indian patents in AI and IoT domains. Dr. Sri Silpa's excellence in teaching and mentorship has been recognized through prestigious awards, including the "Jyestha Acharya Award" (2024, 2025), "Best Guru (Female)" (2024), "Top Mentor" by NPTEL, and "Best Women Academician" (2021).
Beyond academia, she actively serves as a reviewer for IEEE conferences and journals and as a judge for national hackathons. Her technical expertise spans NLP, Machine Learning, Cloud Computing, and Full Stack Development. Committed to educational quality, she has coordinated NBA accreditation activities and designed curricula for government initiatives. She regularly conducts workshops on emerging technologies like MERN Stack and Industry 4.0. Dr. Sri Silpa continues to drive innovation by bridging theoretical research with practical solutions in sustainable agriculture and healthcare, fostering student success through industry-aligned training and certification programs in AWS and Data Science.
Dr. Gera Pradeepini is an Associate Dean – Academic Research at KL University, India, with extensive experience in teaching, research, and academic administration. She has authored over 82 research publications in reputed SCI and Scopus-indexed journals and international conferences. Her research interests include machine learning and deep learning, medical image processing, biomedical signal analysis, disease prediction systems, big data analytics, cloud computing, cybersecurity in smart agriculture, biometric authentication, IoT, and smart healthcare. Her current research focuses on AI-enabled disease diagnosis and prediction, explainable and trustworthy AI systems, and secure data-driven healthcare applications. She actively supervises PhD scholars, 11 scholars awarded under her supervision and contributes as a reviewer to peer-reviewed journals, and plays a key role in research policy development, curriculum design, and the organization of workshops, faculty development programs, and research seminars.
Dr.S. SARAVANA KUMAR Ph.D., Member IEEE and Computer Society Bangalore Chapter, he serving as Principal, PSCMRCET VIJAYAWADA and worked as a Professor and Dean(i/c) & PG School of Engineering and Technology, CMR University, Bangalore. He completed his PhD in Computer Science and Engineering from BU University Chennai. Having 21 years of experience in teaching and research. He authored many a book , He has filed 38 patents in various IoT sensor techniques. He has presented papers at various national and international conferences. He has published 120+ papers in various international reputed SCI journals. He is an editor and reviewer for several international journals. He guided 18 research scholars under his guidance. Presently, he is guiding research scholars associated with CMR University and associated with consultancy projects in AI using machine learning techniques.
Mrs Ch. B. V. Durga, working as Associate Professor in the department of Computer Science & Engineering-(IoT & CS Incl. BCT) at Potti Sreeramulu Chalavadhi Mallikarjuna Rao College of Engineering & Technology, Vijayawada, A.P., India from 2016. She completed AMIE from the Institute of Engineers (India) and M.Tech from Lakireddy Bali Reddy College of Engineering(LBRCE), Mylavaram, A.P. She has more than 10 years of teaching experience. She published SCOPUS Indexed publications. She is also doing some consultancy projects. She organized more than 10 workshops.
