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PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning.

, , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (1): 10:1-10:21 (2020)

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Can Gökmen

Can Yerebakan

Can Imirzalioglu

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Ümit Can

 

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PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning., , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (1): 10:1-10:21 (2020)An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques., , и . CoRR, (2023)Deep learning models for population flow generation from aggregated mobility data., , и . UbiComp/ISWC Adjunct, стр. 1008-1013. ACM, (2019)Origin-Destination Network Generation via Gravity-Guided GAN., , и . CoRR, (2023)GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training., , и . IEEE Trans. Knowl. Data Eng., 35 (10): 10048-10057 (октября 2023)Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data., , , , , , , , и . CoRR, (2023)Causal Learning Empowered OD Prediction for Urban Planning., , , , , и . CIKM, стр. 2455-2464. ACM, (2022)基于双层栈式长短期记忆的电网时空轨迹预测 (Spatio-temporal Trajectory Prediction of Power Grid Based on Double Layers Stacked Long Short-term Memory)., , , , и . 计算机科学, 46 (11A): 23-27 (2019)Inferring Origin-Destination Flows From Population Distribution., , , и . IEEE Trans. Knowl. Data Eng., 35 (1): 603-613 (2023)Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency., , , , , , и . ACM Trans. Knowl. Discov. Data, 16 (3): 49:1-49:21 (2022)