Abstract: With the development of Internet of things technology, smart home system plays an important role in improving the quality of life and ensuring the safety of living. In this paper, an ...
Abstract: The dynamism and uncertainty of the power grid pose higher requirements for the optimization design of the power grid topology structure. On the basis of constructing a weighted undirected ...
Abstract: Traditional deep learning methods have achieved remarkable success by leveraging large-scale labeled datasets. However, in real-world applications, acquiring labeled data is often expensive, ...
Abstract: Graph signal processing has become an essential tool for analyzing data structured on irregular domains. While conventional graph shift operators (GSOs) are effective for certain tasks, they ...
Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...
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