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16578. Privacy-preserving AI-based framework for container transportation demand forecasting in sea-rail intermodal systemsL. Huang, D. Y. Jiang, T. Bai, 2025 Keywords: freight demand forecasting, container transportation demand forecasting, vertical federated learning, privacy-preserving methods, sample and feature selection, machine learning, homomorphic encryption, resource allocation and scheduling Published in DKUM: 20.01.2026; Views: 186; Downloads: 4
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