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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Bibliographische Detailangaben
Hauptverfasser: Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2023-03-01
Schriftenreihe:Sensors
Schlagworte:
federated learning
evolutionary algorithms
interpretable machine learning
diabetes
Online Zugang:https://www.mdpi.com/1424-8220/23/6/2957

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

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