The field of extended reality (XR) is rapidly evolving, with a focus on developing privacy-preserving and immersive experiences. Researchers are exploring the use of federated learning and semantic communication to enhance the efficiency and performance of XR systems. Additionally, there is a growing interest in applying XR technologies to urban planning and digital twins, with a emphasis on creating open and collaborative platforms for modeling and simulation. Notable papers in this area include: The proposal of Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems, which integrates federated learning with foundation models to create privacy-preserving and efficient XR systems. The introduction of the Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecture, which reduces latency and improves image quality in metaverse services.