公开(公告)号：US20230342898A1

公开(公告)日：2023-10-26

申请号：US17726360

申请日：2022-04-21

Applicant: Snap Inc.

Inventor： Meena De Schutter ,  Bo Feng ,  Ruogu Zeng ,  Anbang Zhao

IPC: G06T7/00 ,  G06V40/16

CPC classification number: G06T7/0002 ,  G06V40/161 ,  G06T2207/20084

Abstract: A method of image quality assessment, performed by one or more processors in an image capture device, is disclosed. The method comprising receiving notification of capture of an image and in response, initiating an image assessment task to assess the quality of the image. The assessment task comprises determining suitability of the image for image quality assessment, running an image quality assessment model on the image to generate image quality assessment results, collecting data related to the capture of the image, and transmitting the results to an image quality assessment repository. The image assessment task may be a lower priority asynchronous task.

公开(公告)号：US20220245524A1

公开(公告)日：2022-08-04

申请号：US17726338

申请日：2022-04-21

Applicant: Snap Inc.

Inventor： Vasyl Pihur ,  Subhash Sankuratripati ,  Dachuan Huang ,  Antonio Marcedone ,  Frederick Liu ,  Ruogu Zeng

IPC: G06N20/00 ,  G06N5/04

Abstract: Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.

公开(公告)号：US11809972B2

公开(公告)日：2023-11-07

申请号：US17726338

申请日：2022-04-21

Applicant: Snap Inc.

Inventor： Vasyl Pihur ,  Subhash Sankuratripati ,  Dachuan Huang ,  Antonio Marcedone ,  Frederick Liu ,  Ruogu Zeng

IPC: G06N20/00 ,  G06N5/04 ,  H04L51/18 ,  H04L51/52

CPC classification number: G06N20/00 ,  G06N5/04 ,  H04L51/18 ,  H04L51/52

Abstract: Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.

公开(公告)号：US11341429B1

公开(公告)日：2022-05-24

申请号：US16158010

申请日：2018-10-11

Applicant: Snap Inc.

Inventor： Vasyl Pihur ,  Subhash Sankuratripati ,  Dachuan Huang ,  Antonio Marcedone ,  Frederick Liu ,  Ruogu Zeng

IPC: G06N99/00 ,  G06N5/04 ,  G06F21/57 ,  G06N20/00 ,  H04L51/52 ,  H04L51/18

Abstract: Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.