Preprint
Aug 2026
F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting
F$^2$STNet is proposed, a federated forecasting framework that combines truncated graph-Fourier features, a lightweight diagonal state-space temporal encoder, graph convolution, and Fairness-aware Federated Aggregation (FFA).
Jia-Yi Zhang, Jin-Feng Xu, Hewei Wang et al.
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