Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse
Xiaokang Zhou,
Qiuyue Yang,
Xuzhe Zheng
et al.
Abstract:With the flourish of digital technologies and rapid development of 5G and beyond networks, Metaverse has become an increasingly hotly discussed topic, which offers users with multiple roles for diversified experience interacting with virtual services. How to capture and model users' multi-platform or cross-space data/behaviors become essential to enrich people with more realistic and immersed experience in Metaverseenabled smart applications over 5G and beyond networks. In this study, we propose a Personalized… Show more
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