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handle: 10261/372147
En esta charla se explora el paso del aprendizaje automático clásico, centralizado, al aprendizaje distribuido. A continuación, se presenta y explora la arquitectura de aprendizaje federado, junto con distintos aspectos teóricos así como una evaluación de las ventajas, tipos, cuestiones adicionales de privacidad y posibles ataques que pueden sufrir. Finalmente se revisa el software disponible en abierto para aprendizaje federado y se concluye con la presentación de tres casos de uso de aplicación de esta técnica a tres dominios distintos.
Curso de verano UIMP organizado por la PTI Ciencia e Innovación Digital con el soporte del departamento de Postgrado del CSIC en la sede de Santander de la Universidad Internacional Menéndez Pelayo. 26-28 de agosto del 2024, Santander, Cantabria.
Peer reviewed
Distributed learning, Research, Machine learning, Open data, Investigación, Federated learning, Deep learning, Data privacy, Data science, Ciencia de datos
Distributed learning, Research, Machine learning, Open data, Investigación, Federated learning, Deep learning, Data privacy, Data science, Ciencia de datos
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 43 |

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