Fremont, CA, United States of America

Subash Sundaresan

USPTO Granted Patents = 13 

Average Co-Inventor Count = 1.9

ph-index = 4

Forward Citations = 66(Granted Patents)


Location History:

  • San Jose, CA (US) (2018)
  • Fremont, CA (US) (2012 - 2024)

Company Filing History:


Years Active: 2012-2025

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13 patents (USPTO):Explore Patents

Title: Innovations of Subash Sundaresan in Machine Learning

Introduction

Subash Sundaresan is an accomplished inventor based in Fremont, California, with a remarkable portfolio of 13 patents. His innovative contributions primarily focus on machine learning technologies, particularly in the context of edge devices and peer-to-peer networks.

Latest Patents

Among his latest patents is a groundbreaking method for sharing an incrementally trained machine learning (ML) model from edge devices within a peer-to-peer network. This patent outlines a systematic process where event data is received by an edge device, allowing it to incrementally train a base ML model. The steps include generating a unique file format of the trained model, optimizing its payload, and encapsulating it with distinct metadata.

Another significant patent involves a method and system for the incremental training of ML models on edge devices. This invention describes how a base version of an ML model can be updated in real-time, allowing devices to share updated weights and parameters with one another, thereby enhancing the overall performance of each model across the network.

Career Highlights

Throughout his career, Sundaresan has showcased his expertise while working for renowned companies including Yahoo! Inc. His experience in these companies has significantly shaped his approach toward innovations in machine learning and edge computing.

Collaborations

Sundaresan has collaborated with notable peers in the field, including Ramesh R Sarukkai and P Sam Hamilton. These collaborations have fostered an environment of knowledge sharing and teamwork, further enriching the innovation landscape in which he operates.

Conclusion

Subash Sundaresan's contributions to the field of machine learning through his patents represent a significant advancement in the technology of edge devices. His work not only enhances the capabilities of these devices but also paves the way for future innovations in the realm of incremental model training and data sharing.

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