Stefan Vlaski

Stefan Vlaski is Lecturer in Communications and Signal Processing at Imperial College London, researching distributed machine learning and optimization over networks.

Develops algorithms for decentralized adversarial training and robust aggregation, enhancing privacy and efficiency in networked systems. His work bridges theoretical guarantees with applications in large-scale data processing.

Recognized with best paper awards at major IEEE conferences and the Eurasip PhD Award for foundational contributions.

Serves on IEEE technical committees and editorial boards, advancing signal processing theory for networked AI systems.