Algorithms

30.9.2026

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.

Doctoral dissertation

Aleksei Ponomarenko-Timofeev: New algorithms for private and efficient federated learning

M.Sc. Aleksei Ponomarenko-Timofeev’s doctoral dissertation introduces innovative algorithms that make federated learning (FL) more efficient, private, and adaptable to diverse devices. His work paves the way for fairer and faster machine learning where privacy and resource constraints are paramount.