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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Bibliografische gegevens
Hoofdauteurs: Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-03-01
Reeks:Sensors
Onderwerpen:
federated learning
evolutionary algorithms
interpretable machine learning
diabetes
Online toegang:https://www.mdpi.com/1424-8220/23/6/2957

Internet

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

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