公开(公告)号：US11804050B1

公开(公告)日：2023-10-31

申请号：US16671001

申请日：2019-10-31

申请人： NVIDIA Corporation

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

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

CPC分类号： G06V20/64 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08

摘要： 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：US12072954B1

公开(公告)日：2024-08-27

申请号：US16676314

申请日：2019-11-06

申请人： NVIDIA Corporation

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

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

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

摘要： 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.