首页|Patent Application Titled 'Privacy Preserving Centroid Models Using Secure Multi -Party Computation' Published Online (USPTO 20240163341)
Patent Application Titled 'Privacy Preserving Centroid Models Using Secure Multi -Party Computation' Published Online (USPTO 20240163341)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Wang, Gang (Frederick, MD, US); Yung, Marcel M. Moti (New York, NY, US), f iled on October 30, 2023, was made available online on May 16, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “This specification relates to a privacy preserving machine le arning platform that trains and uses machine learning models using secure multi- party computation. “Some machine learning models are trained based on data collected from multiple sources, e.g., across multiple websites and/or native applications. However, thi s data may include private or sensitive data that should not be shared or allowe d to leak to other parties.”
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