communication efficiency

KAUST professor Peter Richtárik receives Charles Broyden Prize for second consecutive year

2 min read · Wed, Jan 21 2026

optimization machine learning communication efficiency artificial intelligence big data algorithm

The prize honors work advancing communication-efficient optimization for large-scale distributed learning systems.

The Many Faces of Compression: Theory and Practice in Federated Optimization

Elnur Gasanov, Ph.D. Student, Computer Science

May 28, 10:00 - 12:00

B3, L5, R5209

compression methods communication efficiency proximal algorithms

This thesis presents novel compression methods and optimization algorithms aimed at improving communication efficiency in large-scale machine learning systems.