Amazon Technologies, Inc.

Milind Mukesh Rao

Ariya Rastrow

Andrew Oberlin

Pankaj Sitpure

Gurpreet Singh Chadha

Santosh Kumar Patro

Buddha Puneeth Nandanoor

Anand Mohan

Gopinath Chennupati

Prahalad Venkataramanan

A first neural network (NN) model may generate labels for training a second NN model. The second NN model may represent instances of a NN model operating on multiple different devices (e.g., decentralized user and/or edge devices). The system may include using a 'teacher' model to process data received by one or more of the devices to generate a labeled dataset. The system may use the labeled dataset and a “student” model to calculate gradient data for updating the student model. The student model may be the same or similar to NN model instances operating on the devices. The system may validate the updated student model to determine, for example, whether it exhibits improved performance when processing the newly received data and/or historical data. The system may distribute the validated update to the devices.

Continuous learning for machine learning models

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Sunnyvale, CA, United States of America

Milind Mukesh Rao