Parameter Server (PS): Revision history

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21 March 2023

  • curprev 01:0801:08, 21 March 2023‎ Walle talk contribs‎ 3,966 bytes +3,966‎ Created page with "{{see also|Machine learning terms}} ==Parameter Server (PS) in Machine Learning== The '''Parameter Server (PS)''' is a distributed machine learning framework designed to manage the parameters of large-scale machine learning models during the training process. It is particularly useful when dealing with massive datasets and complex model architectures, which are common in Deep Learning and Distributed Machine Learning. ===Background=== Traditional machine learnin..."
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