Federated Learning in Metaverse Healthcare

Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.Jyotir Moy Chatterjee is currently an Assistant Professor in Department of Computer Science and Engineering at Graphic Era (Deemed to be University), in Dehradun, India. He also serves as a Visiting Faculty member in Information Technology at Lord Buddha Education Foundation, which is affiliated with the Asia Pacific University of Technology & Innovation in Kathmandu, Nepal. His research interests focus on advancements in Machine Learning and Deep Learning.

• Virtual Clinics and Hospitals: Transforming Healthcare in the Digital AgeNavigating the Virtual Frontier: Challenges and Solutions for Ethical Federated Learning in Metaverse Healthcare in IndiaReview of Deep Reinforcement Learning and Artificial Neural Networks in Healthcare MetaverseVirtual Clinical and Hospital in IndiaIntroduction to Metaverse HealthcareTelemedicine in the MetaverseVirtual Clinics and Healthcare EcosystemA Collaborative Federated Learning Approach for Healthcare Informatics: Solutions & ChallengesPrivacy and Profit: The Dual Benefits of Federated Learning in Metaverse Healthcare SystemsThe Metaverse Shift: Adapting to Decentralized Computing in Federated Learning for HealthcareFederated Learning for Predictive Modeling of Disease Prevention in the MetaverseIntegrating Real-Time Data with Predictive Models for Early Disease Detection in Metaverse HealthcareAugmented Reality Wearables for Health Monitoring in the Metaverse: Enhancing Patient Engagement and Clinical OutcomesAdapting to Decentralization: The Evolution of Computing Paradigms and Machine Learning in Federated LearningPrivacy-Preserving Secure Computation: Bridging Traditional Healthcare and Metaverse TelemedicineBreaking the Boundaries: Optimizing Healthcare in the Metaverse through Federated Learning