Federated Learning for Privacy-Aware Human Mobility Modeling

Human mobility modeling is a complex yet essential subject of study related to modeling important spatiotemporal events, including traffic, disease spreading, and customized directions and recommendations. While spatiotemporal data can be collected easily via smartphones, current state-of-the-art de...

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Detalles Bibliográficos
Autores principales: Ezequiel, Castro Elizondo Jose, Gjoreski, Martin, Langheinrich, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273827/
https://www.ncbi.nlm.nih.gov/pubmed/35837615
http://dx.doi.org/10.3389/frai.2022.867046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273827/
https://www.ncbi.nlm.nih.gov/pubmed/35837615
http://dx.doi.org/10.3389/frai.2022.867046

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