Atlanta, GA, United States of America

Stacey Truex


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Stacey Truex: Innovator in Privacy Preservation Technologies

Introduction

Stacey Truex is an accomplished inventor based in Atlanta, GA (US). He has made significant contributions to the field of machine learning, particularly in the area of privacy preservation within federated learning environments. With a total of 2 patents, Truex is recognized for his innovative approaches to enhancing data security and privacy.

Latest Patents

One of Stacey Truex's latest patents focuses on techniques regarding privacy preservation in a federated learning environment. This patent describes a system that includes a memory capable of storing computer executable components. The system is equipped with a processor that executes these components, which consist of various machine learning components. These components execute a machine learning algorithm to generate multiple model parameters. Additionally, the system features an aggregator component that synthesizes a machine learning model based on an aggregate of these parameters. The aggregator communicates with the machine learning components through a data privacy scheme that incorporates a privacy process and a homomorphic encryption process.

Career Highlights

Throughout his career, Stacey Truex has worked with notable companies, including IBM and Green Market Square Limited. His experience in these organizations has allowed him to develop and refine his expertise in machine learning and privacy technologies.

Collaborations

Stacey has collaborated with talented individuals such as Nathalie Baracaldo Angel and Heiko Hary Ludwig. These partnerships have contributed to his innovative work in the field.

Conclusion

Stacey Truex is a prominent inventor whose work in privacy preservation and federated learning continues to influence the technology landscape. His contributions are vital in ensuring data security in machine learning applications.

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