Patent · US Active

Private deep neural network training

US10460234B2 · kind B2 · utility

0Cited by

0References

14Claims

0Family size

Assignee

MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

Nishanth Chandran · Bengaluru, IN
Divya Gupta · Phoenix, US
Sameer Wagh · Princeton, US

Key dates

Filing date	Mar 9, 2018
Grant date	Oct 29, 2019
Priority date	—
Expiry date	Apr 18, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/098
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods for private deep neural network training are disclosed. Method includes storing first private values at first machine and second private values at second machine; providing, to third machine, first share of first private values and first share of second private values; providing, to fourth machine, second share of first private values and second share of second private values; computing, at third machine, third machine-value based on first share of first private values and first share of second private values; computing, at fourth machine, fourth machine-value based on second share of first private values and second share of second private values; providing, to first machine and second machine, third machine-value and fourth machine-value; and computing, at first machine, a mathematical function of first private values and second private values, mathematical function being computed based on first private values stored at first machine, third machine-value, and fourth machine-value.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.