Mikhail Sergeevich Kudinov

Title: Mikhail Sergeevich Kudinov and Distributed Machine Learning

Introduction

Mikhail Sergeevich Kudinov is an inventor associated with Moscow, Russia, and Samsung Electronics Ltd. His patent work addresses distributed training of machine-learning models for personalization, combining user-generated information with publicly available training data.

Latest Patents

The supplied information lists one patent for Kudinov: “Distributed Training of Machine Learning Models for Personalization.” The invention describes user equipment that gathers data based on a user’s input and receives publicly available training data from a connected server. The device trains a machine-learning model until a specified stopping criterion is met, such as convergence among models on multiple devices, achievement of a target model-quality value, or completion of a predetermined number of training periods. It then transmits the trained model to the server. This approach supports personalized model training using both user-generated and public data.

Career Highlights

Kudinov’s listed patent reflects work on distributed machine learning and personalization. The described system assigns training tasks to user equipment and uses defined criteria to determine when training should stop. The supplied information identifies Samsung Electronics Ltd. as his company affiliation. His listed patent count is 1 patent.

Collaborations

The supplied information names Irina Igorevna Piontkovskaya and Aleksei Yurievich Nevidomskii as Kudinov’s coworkers. Their inclusion points to a professional context involving colleagues working in related technical fields, although no specific roles or contributions are provided.

Conclusion

Mikhail Sergeevich Kudinov’s listed invention focuses on distributed training for personalized machine-learning models, using user-generated and publicly available data within a defined training process.