G. Kumaresan

A Privacy-Preserving Federated Digital Twin Educational Metaverse Framework for Secure Personalized Learning

While the use of educational metaverse platforms enables immersive and personalized learning, it also generally relies on centralized processing of learner data, which raises privacy, security, and governance concerns. This paper presents FPDT-EMF, a privacy-preserving federated digital-twin educational metaverse frame...