Nvidia Corporation

Rong Ou

Andrew Feng

Daguang Xu

Yan Cheng

Fausto Milletari

Wenqi Li

Nicola Christin Rieke

Wentao Zhu

Charles Jonathan Hancox

Maximilian Baust

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.

Neural network trained using federated learning with local training data preserved at local edge circuits

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.

Processor and system to train machine learning models based on comparing accuracy of model parameters

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Palo Alto, CA, United States of America

Rong Ou