activity
20242026
most citedFederated Learning for Traffic Flow Prediction with Synthetic Data Augmentation

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.AI2026

FedeRICo: Federated Region-Influenced Coupling for Traffic Flow Prediction

Fermin Orozco, Man Luo, Johan Wahlström

Urban traffic forecasting often relies on information distributed across stakeholders who may be unable to share raw data due to privacy or commercial constraints, motivating feder…

cs.LG2026

TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility

Jinming Wang, Hai Wang, Hongkai Wen +2

High-quality GPS trajectories are essential for location-based web services and smart city applications, including navigation, ride-sharing and delivery. However, due to low sampli…