Link to the thesis: Distributed Learning Methods for Heterogeneous Systems of Resource-Constrained Devices – Trepo
Link to the event live stream (open during the event): Streaming link
Nikita Zeulin: New methods for efficient machine learning across diverse devices
The doctoral dissertation titled Distributed Learning Methods for Heterogeneous Systems of Resource-Constrained Devices by MSc Nikita Zeulin will be publicly examined at the Faculty of Information Technology and Communication Sciences at Tampere University on 2 October 2026. The dissertation is in the field of machine learning.
The Opponent will be Professor Cenk Toker from Hacettepe University, Turkey. The Custos will be Professor Sergey Andreev from Tampere University.