Abstract: Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However ...

Abstract: Recently, point cloud processing is becoming popular in AI-driven areas as 3D scanners are developing rapidly. However, this kind of data can have a massive file size, causing significant ...

Abstract: As the integration of renewable energy sources (RES) such as wind and solar power into the power grid increases, the primary challenge lies in the high integration costs and the complexity ...

Abstract: Given the prominence of 3-D sensors in recent years, 3-D point clouds are worthy to be further investigated for environment perception and scene understanding. Learning accurate local and ...