Manoj Ghuhan A

Title: Innovations by Manoj Ghuhan A

Introduction

Manoj Ghuhan A is an accomplished inventor based in Karur, India. He has made significant contributions to the field of machine learning, particularly in enhancing data privacy and reducing latency in model training. With a total of 2 patents, his work is paving the way for more efficient and secure machine learning applications.

Latest Patents

Manoj's latest patents include groundbreaking technologies that focus on asynchronous training of machine learning models across client devices. The first patent, titled "Asynchronously training machine learning models across client devices for adaptive intelligence," describes methods and systems that allow for the training of machine learning models while preserving client data privacy. This innovative approach enables client devices to modify global parameters based on local training data without exposing sensitive information.

The second patent, "Updating machine learning models on edge servers," outlines systems and techniques for updating machine learning models directly on edge servers using fresh data. This method significantly reduces latency, making it suitable for real-time services that support streaming data. By synchronizing global parameters in a deterministic manner, the model converges quickly to optimal values, enhancing overall performance.

Career Highlights

Manoj Ghuhan A is currently employed at Adobe, Inc., where he continues to develop innovative solutions in machine learning. His expertise in the field has positioned him as a key contributor to the company's advancements in adaptive intelligence and real-time data processing.

Collaborations

Manoj has collaborated with notable colleagues, including Ankur Garg and Sunav Choudhary. Their combined efforts in research and development have led to significant advancements in machine learning technologies.

Conclusion

Manoj Ghuhan A's contributions to machine learning through his patents and work at Adobe, Inc. highlight his commitment to innovation and excellence in the field. His focus on data privacy and real-time processing is shaping the future of technology.