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US Patent 11941528 Neural network training in a distributed system

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
119415280
Patent Inventor Names
Randy Renfu Huang0
Ron Diamant0
Richard John Heaton0
Vignesh Vivekraja0
Thiam Khean Hah0
Date of Patent
March 26, 2024
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Patent Application Number
165886030
Date Filed
September 30, 2019
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Patent Citations
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US Patent 11270201 Communication optimizations for distributed machine learning
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US Patent 11423254 Technologies for distributing iterative computations in heterogeneous computing environments
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US Patent 10360500 Two-phase distributed neural network training system
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Patent Primary Examiner
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Ryan C Vaughn
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CPC Code
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G06N 3/10
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G06N 3/084
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Patent abstract

Methods and systems for performing a training operation of a neural network are provided. In one example, a method comprises: performing backward propagation computations for a second layer of a neural network to generate second weight gradients; splitting the second weight gradients into portions; causing a hardware interface to exchange a first portion of the second weight gradients with the second computer system; performing backward propagation computations for a first layer of the neural network to generate first weight gradients when the exchange of the first portion of the second weight gradients is underway, the first layer being a lower layer than the second layer in the neural network; causing the hardware interface to transmit the first weight gradients to the second computer system; and causing the hardware interface to transmit the remaining portions of the second weight gradients to the second computer system.

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