公开(公告)号：US20220076133A1

公开(公告)日：2022-03-10

申请号：US17013432

申请日：2020-09-04

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Ziyue Xu ,  Wenqi Li ,  Andriy Myronenko ,  Holger Reinhard Roth ,  Xiaosong Wang ,  Wentao Zhu ,  Daguang Xu

IPC: G06N3/08 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to facilitate global semi-supervised training of neural networks to perform image segmentation related to diagnosis and management of emerging diseases, such as COVID-19. In at least one embodiment, distributed client training frameworks train one or more client neural networks to perform image segmentation according to a local training data set as well as global neural network data aggregated, by one or more central servers, from each of one or more globally distributed client neural networks.

公开(公告)号：US11804050B1

公开(公告)日：2023-10-31

申请号：US16671001

申请日：2019-10-31

Applicant: NVIDIA Corporation

Inventor： Fausto Milletari ,  Maximilian Baust ,  Nicola Rieke ,  Wenqi Li ,  Daguang Xu ,  Andrew Feng ,  Rong Ou ,  Yan Cheng

IPC: G06V20/64 ,  G06N3/063 ,  G06N3/08 ,  G06N3/045

CPC classification number: G06V20/64 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to collaboratively train one or more machine learning models. Parameter reviewers may be configured to compare sets of machine learning model parameter information in order to generate one or more machine learning models, such as neural networks.

公开(公告)号：US20210374502A1

公开(公告)日：2021-12-02

申请号：US16889652

申请日：2020-06-01

Applicant: NVIDIA Corporation

Inventor： Holger Reinhard Roth ,  Dong Yang ,  Wenqi Li ,  Andriy Myronenko ,  Wentao Zhu ,  Ziyue Xu ,  Xiaosong Wang ,  Daguang Xu

IPC: G06N3/04 ,  G06N3/08 ,  G06T7/10

Abstract: Apparatuses, systems, and techniques to select a nueral network architecture from a plurality of neural networs in a federated learning (FL) settng. In at least one embodiment, a neural network is trained by combining training resutls from different FL computing systesms, where each of the different FL computing systems, for example, trains different portions of the nerual network.

公开(公告)号：US20240303504A1

公开(公告)日：2024-09-12

申请号：US18124999

申请日：2023-03-22

Applicant: NVIDIA Corporation

Inventor： Ziyue Xu ,  Holger Reinhard Roth ,  Meirui Jiang ,  Wenqi Li ,  Dong Yang ,  Can Zhao ,  Vishwesh Nath ,  Daguang Xu

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: Apparatuses, systems, and techniques to train/use one or more neural networks. In at least one embodiment, a processor comprises one or more circuits to cause neural network training information to be aggregated based, at least in part, on contribution of the neural network training data and one or more performance metrics of the neural network.

公开(公告)号：US20220058466A1

公开(公告)日：2022-02-24

申请号：US16998694

申请日：2020-08-20

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Wenqi Li ,  Ziyue Xu ,  Xiaosong Wang ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to generate an optimized neural network architecture. In at least one embodiment, various neural network components are used to generate one or more neural network configurations, and each neural network configuration is trained in order to determine an optimal neural network architecture for a training dataset.

公开(公告)号：US20220366220A1

公开(公告)日：2022-11-17

申请号：US17244781

申请日：2021-04-29

Applicant: NVIDIA Corporation

Inventor： Holger Reinhard Roth ,  Yingda Xia ,  Daguang Xu ,  Andriy Myronenko ,  Wenqi Li ,  Dong Yang

IPC: G06N3/04 ,  H04L29/08 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques to improve federated learning for neural networks. In at least one embodiment, a federated server dynamically selects neural network weights according to one or more learnable aggregation weights indicating a contribution from each of one or more edge devices or clients during federated training according to various characteristics of each edge device or client model and training data.

公开(公告)号：US12072954B1

公开(公告)日：2024-08-27

申请号：US16676314

申请日：2019-11-06

Applicant: NVIDIA Corporation

Inventor： Wenqi Li ,  Fausto Milletari ,  Daguang Xu ,  Yan Cheng ,  Nicola Christin Rieke ,  Charles Jonathan Hancox ,  Wentao Zhu ,  Rong Ou ,  Andrew Feng

IPC: G06T7/00 ,  G06F7/57 ,  G06F18/214 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/94 ,  G16H30/20

CPC classification number: G06F18/2148 ,  G06F7/57 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/955 ,  G16H30/20 ,  G06V2201/03

Abstract: Apparatuses, systems, and techniques to perform federated training of neural networks while maintaining control over dissemination of local models of neural networks from which aspects of local training data might be extracted. In at least one embodiment, a neural network is trained on local training data and a local model is provided to be aggregated with other local models into a global model that is in turn used for further local model training, wherein a provided local model or training is adjusted to reduce an ability to extract aspects of local training data therefrom.

公开(公告)号：US20240169180A1

公开(公告)日：2024-05-23

申请号：US17990498

申请日：2022-11-18

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Ziyue Xu ,  Ali Hatamizadeh ,  Vishwesh Nath ,  Wenqi Li ,  Andriy Myronenko ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.