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Federated Learning for cross-jurisdictional analyses: A case study.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Swansea University
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644963/ http://dx.doi.org/10.23889/ijpds.v7i3.2026 |
| _version_ | 1784826862298464256 |
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| author | Azimaee, Mahmoud Lix, Lisa M. |
| author_facet | Azimaee, Mahmoud Lix, Lisa M. |
| author_sort | Azimaee, Mahmoud |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9644963 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Swansea University |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-96449632022-11-18 Federated Learning for cross-jurisdictional analyses: A case study. Azimaee, Mahmoud Lix, Lisa M. Int J Popul Data Sci Article Swansea University 2022-08-25 /pmc/articles/PMC9644963/ http://dx.doi.org/10.23889/ijpds.v7i3.2026 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License. |
| spellingShingle | Article Azimaee, Mahmoud Lix, Lisa M. Federated Learning for cross-jurisdictional analyses: A case study. |
| title | Federated Learning for cross-jurisdictional analyses: A case study. |
| title_full | Federated Learning for cross-jurisdictional analyses: A case study. |
| title_fullStr | Federated Learning for cross-jurisdictional analyses: A case study. |
| title_full_unstemmed | Federated Learning for cross-jurisdictional analyses: A case study. |
| title_short | Federated Learning for cross-jurisdictional analyses: A case study. |
| title_sort | federated learning for cross-jurisdictional analyses: a case study. |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644963/ http://dx.doi.org/10.23889/ijpds.v7i3.2026 |
| work_keys_str_mv | AT azimaeemahmoud federatedlearningforcrossjurisdictionalanalysesacasestudy AT lixlisam federatedlearningforcrossjurisdictionalanalysesacasestudy |