London, United Kingdom

Michael Sprague

This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Here Global B.v.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Sprague. Retrieved from https://idiyas.com/inventor/michael-sprague-7cyur6au

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Michael Sprague: Innovating Machine Learning through Asynchronous Parameter Aggregation

Introduction: Michael Sprague, an innovative inventor based in London, GB, has made a significant contribution to the field of machine learning. With a strong focus on developing systems that enhance the efficiency and effectiveness of machine learning models, he holds a patent for an inventive approach that addresses data privacy and communication challenges.

Latest Patents: Sprague's patent, titled "Asynchronous Parameter Aggregation for Machine Learning," introduces systems and methods for training machine learning models across numerous devices without the need to share local training data. This breakthrough allows each device to process its own set of data independently, thereby maintaining data privacy while collaboratively improving a shared model. The method involves devices training local models and asynchronously transmitting parameter vectors to a parameter server, which updates a master parameter vector and communicates these updates back to the devices.

Career Highlights: Currently, Michael Sprague works at HERE Global B.V., a company renowned for its mapping and location services. This role allows him to leverage his expertise in machine learning to drive innovation in geospatial technology. His notable contributions not only enhance the company's product offerings but also reflect his commitment to advancing the capabilities of machine learning systems.

Collaborations: Throughout his career, Sprague has collaborated with talented professionals, including Michael Kopp and Moritz Neun. These collaborations foster a dynamic environment for innovation, allowing Sprague to exchange ideas and explore new avenues in machine learning research.

Conclusion: Michael Sprague's work in asynchronous parameter aggregation represents a significant advancement in the machine learning field. His patent not only addresses critical challenges related to data privacy but also opens new possibilities for training models across diverse devices. As part of HERE Global B.V., Sprague continues to be at the forefront of innovation, contributing to the evolution of technology that impacts various industries worldwide.

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]
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