Fremont, CA, United States of America

Vijay Dialani

This inventor holds 1 USPTO granted patent. Top assignee: Coinbase, Inc.. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Vijay Dialani: Innovator in Machine Learning Model Unlearning

Introduction

Vijay Dialani is a prominent inventor based in Fremont, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of model unlearning. His innovative approach addresses the challenges associated with the verifiability of machine learning model unlearning processes.

Latest Patents

Vijay Dialani holds a patent titled "Systems and methods for facilitating verifiability of machine learning model unlearning." This patent outlines a method for performing an unlearning process on a machine learning model in response to a request for unlearning a dataset. The process involves multiple stages, generating model instances at each stage, and creating proofs or hash-based values to verify the performance of the unlearning process. This innovative approach enhances the reliability and accountability of machine learning systems.

Career Highlights

Vijay Dialani is currently employed at Coinbase, Inc., where he applies his expertise in machine learning and data verification. His work at Coinbase reflects his commitment to advancing technology in a rapidly evolving digital landscape.

Collaborations

Vijay has collaborated with notable professionals in his field, including Bhaskar Krishnamachari and Rajarshi Gupta. These collaborations have further enriched his work and contributed to the development of innovative solutions in machine learning.

Conclusion

Vijay Dialani is a key figure in the realm of machine learning, with a focus on enhancing the verifiability of model unlearning processes. His contributions are paving the way for more reliable and accountable machine learning applications.

Profile summary based on public USPTO records.
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