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Short course on "Multi-agent convex optimization over asynchronous and lossy networks"
If you are registered to the short course but you cannot attend because of travel restrictions, sickness, or flight cancellations, please get in touch via necsys22@ethz.ch so that we can assist you.
Speakers
Nicola Bastianello, Ruggero Carli, and Luca Schenato (University of Padova)
Course description
This is a short course on distributed convex optimization over networks with a specific attention to asynchronous implementations which are robust under lossy communication. The course is self-contained and no prior knowledge of distributed optimization is expected and it intends to expose the participants to the most popular ideas and algorithms that have been proposed in this area in the last decades. The course will start with real-world applications which motivate the need of distributed optimization. It will then introduce the consensus algorithms with its properties and its application to distributed optimization. It will then propose an alternative approach to consensus based on non-expansive operator theory which is particularly effective when asynchronous implementation with unreliable communication. The course will also presents prospective and an outlook on recent advancements on Federate Learning and time-varying distributed optimization. Finally, the course will include a hands-on Matlab laboratory where some of the presented algorithms are implemented and compared (Python implementations are also available up-on request). The class is supported with slides and detailed PDF notes. Only basic knowledge of linear algebra, discrete-time linear dynamical systems and convex optimization (Lagrangians, primal-dual problems, optimality gap) is necessary.
Schedule
Sunday 3 July 2022
9:00-9:45 Introduction and applications
9:45-10:30 Consensus problem: Definitions and formulation
Coffee break
10:45-11:30 Consensus problem: convergence conditions and rate
11:30-12:15 Consensus problem: extension to time-varying graphs
Lunch Break
15:00-15:45 Consensus problem: the robust ratio/Push-Pull consensus
15:45-16:30 Consensus problem: accelerated consensus and consensus tracking
Coffee break
16:45-17:30 Consensus-based optimization: Newton-Raphson
17:30-18:15 Consensus-based optimization: first order methods (AB-Push/Pull)
Monday 4 July 2022
9:00-9:45 Introduction to operator theory
9:45-10:30 Non-expansive operators for convex optimization
Coffee break
10:45-11:30 Non-expansive operators and their relation with ADMM (Alternating direction method multipliers)
11:30-12:15 Stochastic Non-expansive operators for lossy and asynchronous networks
Lunch Break
15:00-15:45 Distributed optimization versus federating learning
15:45-16:30 Time-varying distributed optimization
Coffee break
16:45-17:30 MATLAB Hands-on: consensus-based algorithms
17:30-18:15 MATLAB Hands-on: non-expansive operator-based algorithms
Registration
Registration to the Short Course can be done when registering to the conference. In case you are interested in the Short Course but you don't plan to attend NecSys, you can get in touch via necsys22@ethz.ch .
Venue
The short course will take place in building ETZ, room E81, at walking distance from the main conference venue (building HG).
Notice that the ETZ building is closed to the general public on Sunday. You will be allowed access to the lecture room by the course organizers.
Contact
For further information, you can contact Luca Schenato.
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