Vmware, Inc.

Aravind Bappanadu

Hari Sivaraman

Uday Pundalik Kurkure

Vijayaraghavan Soundararajan

Lan Vu

Dimitrios Skarlatos

Method and system for training a neural network. The neural network is split into first and second portions. A k-layer first portion is sent to a client training/inference engine and the second portion is retained by a server training/inference engine. At the splitting point, the kth layer is a one-way function in output computation has a number of nodes that are less than any other layer of the first portion. The client training/inference engine trains the first portion with input data in a set of training data. The server training/inference engine receives a batch of outputs from the client training and applies them to the second portion to train the entire neural network.

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Sunnyvale, CA, United States of America

Aravind Bappanadu