Distributed Optimization for Machine Learning and AI

Catalog description

This is a graduate-level course about theory, algorithms and applications of distributed optimization and machine learning. The course covers the basics of distributed optimization and learning algorithms and their performance analyses when they are used to solve large-scale distributed problems arising in AI, machine learning, signal processing, communication networks, and power systems.