US 2024/0256922 A1Published application

Fast adaptation for deep learning application through backpropagation

AssigneeMicrosoft Technology Licensing, LLC

InventorsGanesh ANANTHANARAYANAN, Yuanchao SHU

Life of this patent

Estimating the term…

Loading patent…

Abstract

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.

Claims20

Dependent claims

What is claimed is:

A method for updating configuration setting associated with capturing content using an Internet-of-Things (IoT) device, including a first processor, of a plurality of IoT devices as at least a part of edge computing system, the method comprising:
receiving, based on a configuration value associated with a configuration setting of the IoT device, input data;
determining, by the first processor, a first gradient value, wherein the first gradient value represents a change of the input data from previously received input data based on a change in the configuration setting for capturing content using the IoT device;
causing an edge server of the edge computing system to determine, using a neural network by a second processor, a second gradient value, wherein the second gradient value indicates a change of inference data based on the change of the input data, wherein the first processor and the second processor are distinct;
updating, based at least on a combination of the first gradient value and the second gradient value, the configuration value associated with the configuration setting for adjusting an input operation of the IoT device, wherein the combination of the first gradient value and the second gradient value represents an anticipated change of inference data over a change in the configuration value associated with the configuration setting of the IoT device, and wherein the updating results in improving inferencing of the input data by adjusting the configuration setting of the IoT device;
and
receiving, based on the updated configuration value using the IoT device, subsequent input data.

4 more elements

A system for capturing content using an Internet-of-Things (IoT) device, including a first processor, of a plurality of IoT devices in an edge computing system, the system comprising:

a memory;
and
the first processor configured to execute a method comprising:
receiving, based on a configuration value associated with a configuration setting of the IoT device for capturing content, input data;
determining, by the first processor, a first gradient value, wherein the first gradient value represents a change of the input data from previously received input data based on a change in the configuration setting for capturing content using the IoT device;
causing an edge server of the edge computing system to determine, using a neural network by a second processor, a second gradient value, wherein the second gradient value indicates a change of inference data from previously generated inference data based on the change of the input data, wherein the first processor and the second processor are distinct;
updating, based at least on a combination of the first gradient value and the second gradient value, the configuration value associated with the configuration setting for adjusting an input operation of the IoT device, wherein the combination of the first gradient value and the second gradient value represents an anticipated change of the inference data over a change in the configuration value associated with the configuration setting of the IoT device, and wherein the updating results in improving inferencing of the input data by adjusting the configuration setting of the IoT device;
and
receiving, based on the updated configuration value using the IoT device, subsequent input data.

6 more elements

An Internet-of-Things (IoT) device of a plurality of IoT devices in edge computing connected to an edge server, the IoT device comprising:

a memory;
and
a first processor configured to execute a method comprising:
receiving, based on a configuration value associated with a configuration setting of the IoT device, input data;
determining, by the first processor, a first gradient value, wherein the first gradient value represents a change of the input data from previously received input data based on a change in the configuration setting for capturing content using the IoT device;
causing the edge server to determine, using a neural network by a second processor, a second gradient value, wherein the second gradient value indicates a change of inference data based on the change in the input data, wherein the first processor and the second processor are distinct;
updating, based at least on a combination of the first gradient value and the second gradient value, the configuration value associated with the configuration setting for adjusting an input operation of the IoT device, wherein the combination of the first gradient value and the second gradient value represents an anticipated change of inference data over a change in the configuration value associated with the configuration setting of the IoT device, and wherein the updating results in improving inferencing of the input data by adjusting the configuration setting of the IoT device;
and
receiving, based on the updated configuration value using the IoT device, subsequent input data.

6 more elements

Dependencies are inferred from the claim text.