Abstract: The rapid growth of Internet-connected devices presents significant challenges to device identification. Existing device probing methods have made progress in identifying device models, but ...
Abstract: Decentralized federated learning (DFL) has been widely used in edge computing and Internet of Things (IoT) settings with many devices. However, the heterogeneity of devices (e.g., varying ...
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