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.
