When a user issues a query, e.g., a spoken query to a user device such as a smartphone, smart speaker, in-car device, etc., the query may be processed locally on-device and additionally, remotely on a server (if permitted by the user). The determination of whether a query is processed locally or on a remote device is typically based on whether the device has a network connection. Local processing of queries can consume device resources. When the device is simultaneously in use for other critical tasks, such resource demand can have a negative impact on such tasks. This disclosure describes the use of a trained machine learning model that takes into account user-permitted contextual factors to determine whether query processing is to be performed on-device or on a remote server.
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Krishnan, Vinod Das and Aggarwal, Vikram, "Contextually Performing Query Processing On-device or On a Remote Server", Technical Disclosure Commons, (November 05, 2020)