PERFORMING SYNCHRONIZATION IN THE BACKGROUND FOR HIGHLY SCALABLE DISTRIBUTED TRAINING

In one embodiment, a method for training a machine-learning model having multiple parameters includes instantiating trainers each associated with at least a worker thread, a synchronization thread, and a local version of the parameters, using the worker threads to perform training operations that co...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	YANG, Jiyan, SU, Bor-Yiing, JIN, Ou, ZHENG, Qinqing, AZZOLINI, Alisson Gusatti, WU, Qiang
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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