Abstract: Federated Learning (FL) enables distributed model training across edge devices in a privacy-friendly manner. However, its efficiency heavily depends on effective device selection and ...
Abstract: This paper investigates a dynamic beam hopping and power allocation problem in rate-splitting multiple access (RSMA) assisted multi-beam satellite system, in which beam services are ...
Object detection in snowy weather poses significant challenges due to degraded image quality and obscured features. This paper introduces a unified detection framework that integrates image ...
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