Multi-model training pipeline in distributed systems

A first worker node of a distributed system computes a first set of gradients using a first neural network model and a first set of weights associated with the first neural network model. The first set of gradients are transmitted from the first worker node to a second worker node of the distributed...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Kaplan, Patricio, Diamant, Ron
Format: Patent
Sprache:eng
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