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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the application of consensus algorithms in networked control systems, focusing on topics such as Metropolis-Hasting models, weighted adjacency matrices, node counting, and distributed computation of Least-Squares regression. The instructor explains how to compute BLUE in a distributed way, the consensus on vector-valued and matrix-valued quantities, and the distributed computation of LS regression. The lecture also delves into the explicit formulas for LS, the goal of making each node compute LS with a distributed algorithm, and the time-varying consensus algorithms' robustness to changes in graph topology, lossy communication, transmission delays, and quantization.