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US Patent 11893520 Privacy and proprietary-information preserving collaborative multi-party machine learning

Overview Structured Data Issues Contributors Activity

Is a

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Patent attributes

Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Thejas Narayana Prasad0

Gabriel Mauricio Silberman0

Jean Joseph Belanger0

Lee David Harper0

Luke Philip Reding0

David Alexander Curry0

Alain Charles Briancon0

Michael Thomas Wegan0

Date of Patent

February 6, 2024

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Patent Application Number

178347560

Date Filed

June 7, 2022

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Patent Citations

US Patent 10417350 Artificial intelligence system for automated adaptation of text-based classification models for multiple languages

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US Patent 11386295 Privacy and proprietary-information preserving collaborative multi-party machine learning

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US Patent 10242258 Organizational data enrichment

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US Patent 10997499 Systems and methods for file system metadata analytics

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Patent Primary Examiner

Moustafa M Meky

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CPC Code

0

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Patent abstract

Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

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