Istanbul, Turkey

Ramin Fuladi

This inventor holds 3 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignee: Telefonaktiebolaget Lm Ericsson (Publ). Active years: 2026.

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.6

ph-index = 1


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Ramin Fuladi: Innovator in Federated Learning

Introduction

Ramin Fuladi is a prominent inventor based in Istanbul, Turkey. He has made significant contributions to the field of federated learning, a cutting-edge area in machine learning that allows for decentralized data processing. His innovative work has led to the development of a patent that enhances the efficiency and security of federated learning systems.

Latest Patents

Ramin Fuladi holds a patent titled "Methods and apparatuses for performing federated learning." This patent describes methods and apparatuses for executing federated learning with multiple client nodes. The invention includes a method for a federated learning server that involves receiving messages from client nodes, verifying signatures, and utilizing local models to generate updated global models. This patent represents a significant advancement in the field, showcasing Ramin's expertise and innovative thinking.

Career Highlights

Ramin is currently employed at Telefonaktiebolaget Lm Ericsson (Publ), a leading telecommunications company. His role involves working on advanced technologies that push the boundaries of what is possible in federated learning. With a focus on practical applications, Ramin's work contributes to the development of more secure and efficient machine learning systems.

Collaborations

Ramin collaborates with talented professionals in his field, including Leyli Karacay and Elif Ustundag Soykan. These collaborations foster an environment of innovation and creativity, allowing for the exchange of ideas and expertise that enhance their collective work.

Conclusion

Ramin Fuladi is a key figure in the realm of federated learning, with a patent that exemplifies his innovative spirit and technical prowess. His contributions to the field are paving the way for future advancements in machine learning technologies.

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