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Contributed Video: Distributed Proximal Splitting Algorithms with Rates and Acceleration, Laurent Condat
Laurent Condat
Event URL: https://opt-ml.org/papers/2020/paper_31.pdf »
We propose new generic distributed proximal splitting algorithms, well suited for large-scale convex nonsmooth optimization. We derive sublinear and linear convergence results with new nonergodic rates, as well as new accelerated versions of the algorithms, using varying stepsizes.
Author Information
Laurent Condat (KAUST)
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