This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Aleksandr Bukharev
Introduction
Aleksandr Bukharev is a notable inventor based in Eindhoven, Netherlands. He has made significant contributions to the field of federated learning, showcasing his expertise through his innovative patent. His work is particularly relevant in the context of machine learning and data privacy.
Latest Patents
Bukharev holds a patent related to a federated learning system. This system is designed to train a federated model on local training datasets from multiple edge devices. In this process, an edge device obtains a current federated model, determines a model update based on its local dataset, and sends out the model update. The method includes filtering training inputs to improve the model's accuracy, ensuring that the federated model is continuously refined.
Career Highlights
Aleksandr Bukharev is associated with Koninklijke Philips Corporation N.V., a leading company in health technology. His role at Philips allows him to work on cutting-edge technologies that have a significant impact on healthcare and consumer electronics. His innovative approach has led to the development of solutions that enhance the efficiency of machine learning applications.
Collaborations
Bukharev collaborates with talented individuals such as Shreya Anand and Anshul Jain. These partnerships foster a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Aleksandr Bukharev's contributions to federated learning and his role at Koninklijke Philips Corporation N.V. highlight his importance in the field of innovation. His work not only advances technology but also addresses critical issues in data privacy and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
