Federated Spatial-Temporal Synchronous Graph Convolutional Network for Cross-City Traffic Prediction
Abstract: Accurate traffic forecasting plays a vital role in modern intelligent transportation systems and enables proactive traffic management and well-informed decision-making. Although existing ...
Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...
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