Method For Adjusting Machine Learning Models And System For Adjusting Machine Learning Models

    公开(公告)号:US20210406770A1

    公开(公告)日:2021-12-30

    申请号:US17356015

    申请日:2021-06-23

    申请人: ABB Schweiz AG

    IPC分类号: G06N20/00

    摘要: A method for adjusting machine learning models in a system including a plurality of devices is suggested. The method includes providing a system including a plurality of devices, wherein the devices have computational resource capacities; providing one or more machine learning tasks; providing a repository of ML models for the one or more tasks, wherein a plurality of the ML models of a single task solve the same task with different computational resources requirements and different quality metrics; selecting a device of the plurality of devices of the system to execute a task, wherein the selected device has available computational resource capacities; and selecting, from the repository of ML models of the task to be executed, one of the ML models, wherein the computational resources requirements of the selected ML model do not exceed the available computational resource capacities of the selected device. Systems configured to perform the methods as disclosed herein are also suggested.