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METHOD AND MACHINE LEARNING AGENT FOR EXECUTING MACHINE LEARNING IN AN EDGE CLOUD
METHOD AND MACHINE LEARNING AGENT FOR EXECUTING MACHINE LEARNING IN AN EDGE CLOUD
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机译:在边缘云中执行机器学习的方法和机器学习代理
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摘要
Method and machine learning agent (200) for executing machine learning on an industrial process (202) by using computing resources in an edge cloud (204). A state (202A) of the industrial process is identified (2:1) and a learning model (206) comprising a training algorithm for the machine learning is selected (2:2) based on the identified state. The training algorithm in the selected model is then adapted (2:4) so that the amount of available computing resources in the edge cloud is sufficient for computations in the training algorithm. The adapted training algorithm is finally applied (2:5) on data generated in the industrial process using computing resources in the edge cloud. Thereby, computing resources in the edge cloud can be used and no additional resources are needed, thus reducing latency and bandwidth consumption.
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