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cs.AI2026
: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting
Chengyang Zhou, Zijian Zhang, Hao Miao +5
Spatial-temporal forecasting is pivotal for intelligent urban management yet remains challenging due to the intricate coupling of spatial dynamics and temporal non-stationarity. Ex…
cs.LG2026
FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction
Chengyang Zhou, Zijian Zhang, Chunxu Zhang +4
Federated learning offers a promising paradigm for privacy-preserving traffic prediction, yet its performance is often challenged by the non-identically and independently distribut…