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Federated Learning for the Metaverse

Applications in Virtual Environments

  • 1st Edition - August 1, 2026
  • Latest edition
  • Editors: Noor Zaman Jhanjhi, Mamoona Humayun, Faizan Ahmad, Momina Shaheen
  • Language: English

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradi… Read more

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Description

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.

Key features

  • Explores practical applications of federated learning within the metaverse, examining real-world scenarios and showcasing successful implementations
  • Offers diverse perspectives from experts in the fields of federated learning, virtual reality, augmented reality, and immersive technologies
  • Provides practical guidance on implementing federated learning techniques within metaverse applications, accompanied by code snippets and case studies
  • Addresses the ethical considerations and implications of utilizing federated learning in the metaverse, including privacy concerns and data governance
  • Discusses emerging trends at the intersection of federated learning and the metaverse

Readership

Researchers and academics in federated learning, machine learning, artificial intelligence, metaverse and virtual reality. Industry professionals working in the fields of immersive technologies, augmented reality, and virtual reality

Table of contents

1. Introduction to Federated Learning and the Metaverse

2. Federated Learning Models and algorithms for privacy-preserving personalization in Metaverse

3. Privacy-Preserving Personalization in the Metaverse

4. Security and Threat Detection in Virtual Environments

5. Cross-Platform Collaboration and Consistency

6. Adaptive and Immersive Learning Experiences with Federated Learning

7. Real-Time Communication Enhancement

8. Decentralized Governance and Regulation

9. Localized Language Understanding in a Multilingual Metaverse

10. Content Creation and Customization for Enhanced Experiences

11. Federated Learning for Metaverse: A Comprehensive Survey

12. Ethical Considerations and Future Trends

Product details

  • Edition: 1
  • Latest edition
  • Published: August 1, 2026
  • Language: English

About the editors

NJ

Noor Zaman Jhanjhi

Prof. Jhanjhi is currently working as a Professor in Computer Science (Cybersecurity) and Program Director for the Postgraduate Research Degree Programmes at the School of Computer Science at Taylor’s University, Malaysia. He has been nominated as the world’s top 2% research scientist globally for 2022 and 2023, received the vice chancellor’s highly cited research award, and was nominated as an Outstanding faculty member by the MDEC Malaysia for the year 2022. He has several international Patents on his account, including Australian, German, UK, and Japanese. He edited/authored over 45 research books published by world-class publishers. He has excellent experience supervising and co-supervising postgraduate students, and more than 37 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE, and Frontier in Communication and Networks. He received Outstanding Associate Editor for IEEE ACCESS. He has been a Keynote/Invited speaker for more than 60 international conferences and chaired international conference sessions globally. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs.
Affiliations and expertise
Taylor's University, Malaysia

MH

Mamoona Humayun

Dr. Mamoona is currently working as a Senior Lecturer with the Department of computing, School of Arts Humanities and Social Sciences, University of Roehampton, London, SW15 5PJ, United Kingdom. She has highly indexed publications in WoS/ISI/SCI/Scopus, and her collective research Impact factor is more than 200 plus points. Her Google Scholar H index is 38, and I-10 Index is 110 plus, with more than 200 publications on her credit. She has several international Patents on her account, including UK and Japanese. She edited/authored several research books published by world-class publishers. She has excellent experience of supervising and co-supervising postgraduate students, and a good number of Postgraduate scholars graduated under her supervision. Dr. Mamoona serves as a reviewer for several reputable journals. She has completed several funded research grants successfully. She has served as a Keynote/Invited speaker for many international conferences and workshops. She has vast experience in academic qualifications, including ABET, and NCAAA. Her research areas include Cyber Security, Wireless Sensor Networks (WSN), the Internet of Things (IoT), Requirement Engineering, Global Software Development, and Knowledge Management.

Affiliations and expertise
School of Arts Humanities and Social Sciences, University of Roehampton, London, UK

FA

Faizan Ahmad

Dr Faizan Ahmad is a recognized leader in the field of Computer Science, specializing in Human-computing interaction who previously led a Research Center for Human-Computer Interaction in his previous role for 5 years and published 17 high-quality research articles with a citation count of 460 in prestigious journals and conferences. Currently, he is serving a research and teaching leadership role at Cardiff Metropolitan University Wales, UK. He led research on Human-computing Interaction, Augmented and Virtual reality. He is leading an international research collaboration, currently leading MoUs with international research institutions.
Affiliations and expertise
Cardiff Metropolitan University, UK

MS

Momina Shaheen

Momina Shaheen is Lecturer of Computing, in University of Roehampton, London, United Kingdom. She has more than 6+ years of experience in research and academia. She has 10 journal and 3 conference publications. She is a Ph.D. Scholar of University of Management and Technology, Lahore, Pakistan. She earned her master’s in software engineering from Bahria University Islamabad Campus in 2016. She has supervised and initiated several projects in her career. She has led different project in Machine Learning, Data Science, Artificial Intelligence, Federated Learning, Agent-based Modelling, Cognitive Sciences and Distributed Systems.
Affiliations and expertise
Lecturer of Computing, Roehampton University, UK