Federated Learning for the Metaverse

Applications in Virtual Environments
Herausgeber: Jhanjhi, Noor Zaman; Shaheen, Momina; Ahmad, Faizan; Humayun, Mamoona

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 350
• Erscheinungstermin: 1. Mai 2026
• Englisch
• ISBN-13: 9780443338939
• ISBN-10: 0443338930
• Artikelnr.: 74313265

Inhaltsangabe

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