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Federated learning (FL) is a distributed learning process that uses a trusted aggregation server to allow multiple parties (or clients) to collaboratively train a machine learning model without having them share their private data. Recent research, h
Externí odkaz:
http://arxiv.org/abs/2310.02113
Publikováno v:
Smart Innovation, Systems and Technologies.
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
This article proposes an algorithm oriented to the detection of the level of blood filling in
This article proposes an algorithm oriented to the detection of the level of blood filling in
Externí odkaz:
http://hdl.handle.net/10757/653781
Autor:
Crespo-Quintanilla, Jesús A., García-Castillo, Jorge L., I. Minchaca-Mojica, Jesús, Picón-Núñez, Martín
Publikováno v:
In Thermal Science and Engineering Progress September 2024 54
Publikováno v:
In Chemical Engineering and Processing - Process Intensification May 2024 199
Autor:
Argotte-Ramos, Rocío, Cime-Castillo, Jorge, Vargas, Valeria, Lanz-Mendoza, Humberto, Rodriguez, Mario H., Rodriguez, Maria Carmen
Publikováno v:
In Heliyon 30 April 2024 10(8)
Publikováno v:
In Blood 25 April 2024 143(17):1702-1712