Yue Guo

Title: Innovations by Yue Guo in Secure Aggregation Protocols

Introduction

Yue Guo is an accomplished inventor based in Jersey City, NJ (US), known for his contributions to secure aggregation protocols in the field of machine learning. With a total of 2 patents, Guo has made significant strides in protecting individual data privacy while facilitating federated learning.

Latest Patents

Guo's latest patents include a method and system for a secure aggregation protocol designed to protect the privacy of individual data sets. This innovative method provides a secure aggregation protocol that facilitates federated learning of machine learning models. The process includes a setup phase that utilizes public key—secret key pairs to verify signatures and ensure secure transmissions of encrypted messages containing datasets to be aggregated. Additionally, an aggregation phase employs a random oracle/hash function to facilitate the integration of newly submitted datasets into the preexisting aggregated dataset.

Another notable patent focuses on secure aggregation of information using federated learning. This method allows for the learning of a shared machine learning model while preserving the privacy of individual participants. It involves receiving encrypted user inputs from a group of users and, upon reaching a threshold number of inputs, transmitting a list of the group to each user. The process continues with users indicating mutual agreement regarding a shared secret, ultimately leading to the determination of information about the shared machine learning model through the combination of received encrypted user inputs.

Career Highlights

Yue Guo is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in machine learning and data privacy. His work is instrumental in developing innovative solutions that enhance data security in financial services.

Collaborations

Guo collaborates with talented professionals, including Antigoni Ourania Polychroniadou and Tucker Richard Balch, who contribute to his projects and research endeavors.

Conclusion

Yue Guo's innovative work in secure aggregation protocols showcases his commitment to advancing technology while prioritizing data privacy. His contributions are vital in the evolving landscape of machine learning and data security.