Zhiwei Wu

Title: Zhiwei Wu and Privacy-Preserving Data Collaboration.

Introduction

Zhiwei Wu is an inventor based in Pittsburgh, Pennsylvania. His patent work addresses privacy-preserving methods for sharing useful data in multi-party collaborations.

Latest Patents

Wu is associated with one patent: Data Clean Room with Exportable, Privacy-Preserving Labels. The invention describes systems, devices, and methods for providing data clean room capabilities that allow privacy-preserving labels to be exported. A clean room can receive datasets from multiple parties, select and train a differential privacy machine-learning model, and use it to infer noisy labels for users of interest. The resulting exportable dataset contains noisy labels rather than sensitive private labels. Wu is associated with 1 patent.

Career Highlights

Wu is associated with Amazon Technologies, Inc. His patent reflects work on applying differential privacy and machine learning to data collaboration while limiting the exposure of sensitive information.

Collaborations

Wu’s listed coworker is Shuai Tang. The patent’s subject matter also concerns collaboration among multiple parties using shared data under privacy-preserving safeguards.

Conclusion

Zhiwei Wu’s patent focuses on enabling data-driven collaboration through exportable, privacy-preserving labels that help protect sensitive information.