Author

Heng Wang

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Preprint Jul 2026

Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting

Federated learning has emerged as a promising paradigm for spatio-temporal forecasting (STF), enabling collaborative model training without sharing raw observations. Existing federated STF methods primarily regard cross-client heterogeneity as an optimization challenge and mitigate it through personalized approaches. H...

Qingxiang Liu, Anqi Liang, Heng Wang et al. · 0 citations