May 25, 2026  
Rensselaer Catalog 2025-2026 
    
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Rensselaer Catalog 2025-2026

ECSE 4880 - Distributed Optimization and Learning

This is a course about theory, algorithms and applications of distributed optimization and 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 signal and image processing, communication networks and control systems.

Prerequisite: MATH 2010  and (ECSE 2500   or ENGR 2600 )

When Offered: SPRING TERM ANNUALLY

Co-Listed: ECSE 6880  

Graded: GRADED

Credit Hours: 3

Contact, Lecture or Lab Hours: 3