MICROSOFT TECHNOLOGY LICENSING, LLC (20240256922). FAST ADAPTATION FOR DEEP LEARNING APPLICATION THROUGH BACKPROPAGATION

FAST ADAPTATION FOR DEEP LEARNING APPLICATION THROUGH BACKPROPAGATION

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Ganesh Ananthanarayanan of Sammamish WA US

Yuanchao Shu of Kirkland WA US

FAST ADAPTATION FOR DEEP LEARNING APPLICATION THROUGH BACKPROPAGATION

This abstract first appeared for US patent application 20240256922 titled 'FAST ADAPTATION FOR DEEP LEARNING APPLICATION THROUGH BACKPROPAGATION

Original Abstract Submitted

systems and methods are provided for dynamically adapting configuration setting associated with capturing content as input data for inferencing in the multi-access edge computing in a 5g telecommunication network. the inferencing is based on a use of a deep neural network. in particular, the method includes determining a gradient of a change in inference data over a change in configuration setting for capturing input data (the inference-configuration gradient). the method further updates the configuration setting based on the gradient of a change in inference data over a change in the configuration setting. the inference-configuration gradient is based on a combination of an input-configuration gradient and an inference-input gradient. the input-configuration gradient indicates a change in input data as the configuration setting value changes. the inference-input gradient indicates, as a saliency of the deep neural network, a change in inference result of the input data as the input data changes.