Federated LSTM-based deep learning model for privacy-preserving predictions of human trajectories across multiple data providers
The problem of data-driven location prediction of individual users is based on an effective mining of travel behaviours and motion patterns. In this sense, a central aspect refers to the use of a relevant amount of historical mobility data, required for successfully training machine learning models,...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Taylor & Francis Group
2026-01-01
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| Series: | Annals of GIS |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2026.2617187 |
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