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Publikováno v:
Sensors; Volume 23; Issue 14; Pages: 6286
Federated learning (FL) is a distributed training method for machine learning models (ML) that maintain data ownership on users. However, this distributed training approach can lead to variations in efficiency due to user behaviors or characteristics