Parallel Stochastic Asynchronous Coordinate Descent: Tight Bounds on the Possible Parallelism
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Publication:5147036
DOI10.1137/19M129574XzbMath1458.90510arXiv1811.05087OpenAlexW3128700823MaRDI QIDQ5147036
Yun Kuen Cheung, Yixin Tao, Richard John Cole
Publication date: 2 February 2021
Published in: SIAM Journal on Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.05087
Convex programming (90C25) Sums of independent random variables; random walks (60G50) Parallel algorithms in computer science (68W10) Theory of computing (68Q99)
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Cites Work
- Fully asynchronous stochastic coordinate descent: a tight lower bound on the parallelism achieving linear speedup
- Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties
- Perturbed Iterate Analysis for Asynchronous Stochastic Optimization
- An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
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