Péter Szilágyi

Title: Péter Szilágyi: Innovator in Neural Network Technologies

Introduction

Péter Szilágyi is a prominent inventor based in Budapest, Hungary. He has made significant contributions to the field of neural networks, particularly in the area of federated learning. With a total of 7 patents to his name, Szilágyi continues to push the boundaries of technology and innovation.

Latest Patents

One of his latest patents is titled "Federated learning of growing neural gas models." This patent discloses a method that involves receiving a plurality of local growing neural gas models from various distributed trainers. Each local model represents the state of at least one radio access network node. The method further includes training a global growing neural gas model based on these local models, which represents the global state of multiple radio access network nodes. Another notable patent is "Soliciting and providing data based on diversity requirements for network apparatus." This invention provides a network apparatus designed to receive requests for data, which include diversity requirements. The apparatus solicits data based on these requirements, receives the solicited data, and subsequently provides it to the requesting apparatus.

Career Highlights

Péter Szilágyi has worked with leading companies in the telecommunications sector, including Nokia Technologies and Nokia Solutions and Networks. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in network technologies.

Collaborations

Some of his notable coworkers include Csaba Vulkán and Guillaume Decarreau. Their collaboration has likely fostered an environment of creativity and innovation, leading to the development of groundbreaking technologies.

Conclusion

Péter Szilágyi is a distinguished inventor whose work in neural network technologies has made a significant impact in the field. His patents reflect his commitment to advancing technology and improving network systems.