Cambridge, MA, United States of America

Eleftherios Ioannidis

This inventor holds 1 USPTO granted patent. Top assignee: Unifyid, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eleftherios Ioannidis. Retrieved from https://idiyas.com/inventor/eleftherios-ioannidis

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Eleftherios Ioannidis: Innovator in Privacy-Preserving Machine Learning

Introduction

Eleftherios Ioannidis is a notable inventor based in Cambridge, MA, who has made significant contributions to the field of machine learning. His innovative work focuses on privacy-preserving systems that enhance the security of user data during machine-learning training operations.

Latest Patents

Ioannidis holds a patent for a "Privacy-preserving system for machine-learning training data." This invention relates to a system that anonymizes sensor data, allowing for machine-learning training without revealing the identity of the associated user. The system operates by receiving encrypted sensor data at a gateway server, which includes a client identifier. It then transfers this data into a secure enclave, where the data is decrypted, and the client identifier is replaced with an anonymized identifier. The anonymized sensor data is subsequently used to train a machine-learning model for recognition operations.

Career Highlights

Eleftherios Ioannidis is currently employed at Unifyid, Inc., where he continues to develop innovative solutions in the realm of data privacy and machine learning. His work is instrumental in advancing technologies that prioritize user anonymity while leveraging data for training intelligent systems.

Collaborations

Ioannidis collaborates with John Whaley, a fellow innovator in the field. Their partnership enhances the development of privacy-preserving technologies, contributing to the broader landscape of secure machine learning.

Conclusion

Eleftherios Ioannidis stands out as a key figure in the innovation of privacy-preserving systems for machine learning. His contributions not only advance technology but also prioritize user privacy in an increasingly data-driven world.

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]
Loading…