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Fermin Orozco

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#artificial intelligence Preprint Sep 2026

FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

FedeRICo, a federated traffic forecasting framework that combines gradient-level collaboration with boundary-aware residual communication, is proposed that consistently outperforms state-of-the-art federated spatial-temporal baselines while maintaining competitive training runtime.

Fermin Orozco, Man Luo, Johan Wahlström · 0 citations

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