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：US11100643B2

公开(公告)日：2021-08-24

申请号：US16568161

申请日：2019-09-11

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Holger Reinhard Roth ,  Ziyue Xu ,  Fausto Milletari ,  Ling Zhang ,  Te-Chung Isaac Yang ,  Daguang Xu

IPC: G06T7/10 ,  G06N3/04 ,  G06T5/00 ,  G06T7/00

Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.

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：US20210073995A1

公开(公告)日：2021-03-11

申请号：US16568161

申请日：2019-09-11

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Holger Reinhard Roth ,  Ziyue Xu ,  Fausto Milletari ,  Ling Zhang ,  Te-Chung Isaac Yang ,  Daguang Xu

IPC: G06T7/10 ,  G06T7/00 ,  G06T5/00 ,  G06N3/04

Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.