Federated Learning with Dynamic Model Exchange

Large amounts of data are needed to train accurate robust machine learning models, but the acquisition of these data is complicated due to strict regulations. While many business sectors often have unused data silos, researchers face the problem of not being able to obtain a large amount of real-wor...

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Bibliographic Details
Main Authors: Hannes Hilberger, Sten Hanke, Markus Bödenler
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/10/1530