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263-4507-00L 6 Credits DR , MSC , WBZ D-MATH , D-INFK

Advances in Distributed Graph Algorithms

Lecturers & Examiners: Dr. Mohsen Ghaffari
Does not take place this semester.
VVZ CR n/a

Last Updated: 2026-02-05 15:42:00

Abstract

How can a network of computers solve the graph problems needed for running that network?

Objective

This course will familiarize the students with the algorithmic tools and techniques in local distributed graph algorithms, and overview the recent highlights in the field. This will also prepare the students for independent research at the frontier of this area. This is a special‐topics course in algorithm design. It should be accessible to any student with sufficient theoretical/algorithmic background. In particular, it assumes no familiarity with distributed computing. We only expect that the students are comfortable with the basics of algorithm design and analysis, as well as probability theory. It is possible to take this course simultaneously with the course “Principles of Distributed Computing”. If you are not sure whether you are ready for this class or not, please consult the instructor.

Content

How can a network of computers solve the graph problems needed for running that network? Answering this and similar questions is the underlying motivation of the area of Distributed Graph Algorithms. The area focuses on the foundational algorithmic aspects in these questions and provides methods for various distributed systems --- e.g., the Internet, a wireless network, a multi-processor computer, etc --- to solve computational problems that can be abstracted as graph problems. For instance, think about shortest path computation in routing, or about coloring and independent set computation in contention resolution. Over the past decade, we have witnessed a renaissance in the area of Distributed Graph Algorithms, with tremendous progress in many directions and solutions for a number of decades-old central problems. This course overviews the highlights of these results. The course will mainly focus on one half of the field, which revolves around locality and local problems. The other half, which relates to the issue of congestion and dealing with limited bandwidth in global problems, will not be addressed in this offering of the course. The course will cover a sampling of the recent developments (and open questions) at the frontier of research of distributed graph algorithms. The material will be based on a compilation of recent papers in this area, which will be provided throughout the semester. The tentative list of topics includes: - The shattering technique for local graph problems and its necessity - Lovasz Local Lemma algorithms, their distributed variants, and distributed applications - Distributed Derandomization - Distributed Lower bounds - Graph Coloring - Complexity Hierarchy and Gaps - Primal-Dual Techniques

General Information

Language
English
Levels
DR , MSC , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
The grades will be based on a semester-long project, which will be delivered and graded in three parts: An initial proposal (20%), a final report (60%), and a presentation (20%). We will discuss the exact format and the related deadlines, in the first lecture.The deadline for deregistering expires at the end of the third week of the semester.

Course Components

Type Title Time & Place Hours
lecture Advances in Distributed Graph Algorithms
Does not take place this semester.
No time listed 3 h weekly
exercise Advances in Distributed Graph Algorithms
Does not take place this semester.
No time listed 1 h weekly
independent project Advances in Distributed Graph Algorithms
Does not take place this semester.
No time listed 1 h weekly

Offered In