MANAGING TRAINING OF A MACHINE LEARNING MODEL

MANAGING TRAINING OF A MACHINE LEARNING MODEL

There is provided a method performed by a master node for managing training of a machine learning model. One or more worker nodes of a plurality of worker nodes are selected to train a machine learning model in a round of training. The one or more worker nodes are selected to optimize a performance...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Riaz, Hassam, Larsson, Hannes, Ickin, Selim
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:There is provided a method performed by a master node for managing training of a machine learning model. One or more worker nodes of a plurality of worker nodes are selected to train a machine learning model in a round of training. The one or more worker nodes are selected to optimize a performance of an updated machine learning model for a validation dataset after the round of training. The updated machine learning model has one or more parameters of the machine learning model trained by the one or more worker nodes in a previous round of training.