Abstract: Federated learning (FL) is a privacy-preserving alternative to centralized machine learning, where model training is performed on local devices and only global model updates are shared, ...
Abstract: The rapid digitalization and proliferation of internet-connected devices have not only revolutionized our daily lives but also exponentially expanded the attack surface for cybercriminals, ...
Abstract: Due to the ongoing advancements in small unmanned systems (SUSs), the field of study on detecting targets with small radar cross section (RCS) areas is constantly expanding. Due to their ...
Abstract: In the face of the high density of vehicle distribution in urban areas, the self-organized network formed between vehicles has suffered serious communication interference, which will lead to ...