Abstract: Accurate indoor localization for autonomous mobile robots remains challenging in confined indoor spaces using a camera and an ultra-wideband (UWB) due to asynchronous sampling, heavy-tailed ...

Abstract: Federated Learning (FL) is a distributed framework that shares local model parameters to reduce privacy leakage. However, performance disparities across devices and the non-IID data ...