
handle: 10953.1/19057
El trabajo fin de grado trata sobre desarrollar y probar un algoritmo de aprendizaje federado basado en FEPDS en una arquitectura con Raspberry Pi. Implementando para ello tres métodos de fusión: Token Competition Sesgado, reglas repetidas y Odds Ratio.
The final degree project deals with developing and testing a federated learning algorithm based on FEPDS in an architecture with Raspberry Pi. Implementing for these three fusion methods: Token Competition Biased, repeated rules and Odds Ratio.
Informática, Heurísticas, Artificial Intelligence, 1203.17, Computer Science, 1203.04, 1203.15, Heuristics, Tecnologías de la información, Inteligencia artificial
Informática, Heurísticas, Artificial Intelligence, 1203.17, Computer Science, 1203.04, 1203.15, Heuristics, Tecnologías de la información, Inteligencia artificial
| 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 |
