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SYSTEMS AND METHODS FOR DISTRIBUTED TRAINING OF DEEP LEARNING MODELS

机译:深度学习模型分布式培训的系统和方法

摘要

Systems and methods for distributed training of deep learning models are disclosed. An example local device to train deep learning models includes a reference generator to label input data received at the local device to generate training data, a trainer to train a local deep learning model and to transmit the local deep learning model to a server that is to receive a plurality of local deep learning models from a plurality of local devices, the server to determine a set of weights for a global deep learning model, and an updater to update the local deep learning model based on the set of weights received from the server.
机译:公开了对深学习模型的分布式训练的系统和方法。 培训深度学习模型的一个示例本地设备包括参考生成器,用于在本地设备上标记接收的输入数据以生成培训数据,培训本地深度学习模型的培训师并将本地深度学习模型传输到所需的服务器 从多个本地设备接收多个本地深度学习模型,服务器以确定全局深度学习模型的一组权重,并且更新基于从服务器接收的一组权重更新本地深度学习模型的更新 。

著录项

  • 公开/公告号US2021287080A1

    专利类型

  • 公开/公告日2021-09-16

    原文格式PDF

  • 申请/专利权人 LINEAR ALGEBRA TECHNOLOGIES LIMITED;

    申请/专利号US201716326361

  • 发明设计人 DAVID MOLONEY;

    申请日2017-08-19

  • 分类号G06N3/08;G06N3/04;G06K9/62;H04L29/08;

  • 国家 US

  • 入库时间 2024-06-14 22:04:19

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