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Federated learning can match centralized ML performance in bike-sharing demand forecasting, opening the door to privacy-preserving urban mobility solutions.
Ditch the GenAI hype for shared mobility forecasting: gradient boosting models, fine-tuned for edge deployment, can outperform them.
