New York, NY, United States of America

Antigoni Ourania Polychroniadou

This inventor holds 10 USPTO granted patents and 6 published patent applications. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Antigoni Ourania Polychroniadou. Retrieved from https://idiyas.com/inventor/antigoni-ourania-polychroniadou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 10 

% Patents Active = 90.0

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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10 patents (USPTO):Explore Patents

Title: Antigoni Ourania Polychroniadou: Innovator in Secure Aggregation Protocols

Introduction

Antigoni Ourania Polychroniadou is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of secure aggregation protocols, particularly in the context of machine learning. With a total of 10 patents to her name, her work focuses on protecting the privacy of individual data sets while facilitating collaborative learning.

Latest Patents

One of her latest patents is titled "Method and system for secure aggregation protocol for protecting privacy of individual data sets." This invention provides a secure aggregation protocol that enables federated learning of machine learning models while safeguarding the privacy of individual data sets associated with participants. The method includes a setup phase that utilizes public key—secret key pairs for verifying signatures and facilitating 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 is "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, and once a sufficient number of agreements are received, information about the shared machine learning model is determined by combining the encrypted user inputs.

Career Highlights

Antigoni Ourania Polychroniadou is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in secure aggregation protocols. Her innovative work has positioned her as a leader in the field, contributing to advancements in privacy-preserving technologies.

Collaborations

Throughout her career, Antigoni has collaborated with notable colleagues, including Tucker Richard Balch and Benjamin E. Diamond. These collaborations have further enriched her research and development efforts in the domain of machine learning and data privacy.

Conclusion

Antigoni Ourania Polychroniadou is a trailblazer in the field of secure aggregation protocols, with a strong focus on privacy in machine learning. Her contributions through her patents and work at JPMorgan Chase Bank, N.A. highlight her commitment to advancing technology while protecting individual

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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