Federated Learning for the Metaverse

Noor Zaman Jhanjhi • Mamoona Humayun • Faizan Ahmad • Momina Shaheen

Pocket

2409:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

350 sidor
2026

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.

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

Författare: Noor Zaman Jhanjhi, Mamoona Humayun, Faizan Ahmad, Momina Shaheen
Format: Pocket/Paperback
ISBN: 9780443338939
Språk: Engelska
Antal sidor: 350
Utgivningsdatum: 2026-01-11
Förlag: Elsevier Science