A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A further novelty resides in the fact that, differently f...

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Hlavní autoři: Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-03-01
Edice:Sensors
Témata:
federated learning
evolutionary algorithms
interpretable machine learning
diabetes
On-line přístup:https://www.mdpi.com/1424-8220/23/6/2957

Internet

https://www.mdpi.com/1424-8220/23/6/2957

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