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Sep, 2023
随机极化码用于随时分布式机器学习
Randomized Polar Codes for Anytime Distributed Machine Learning
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Burak Bartan, Mert Pilanci
TL;DR
提出一种强大的分布式计算框架，通过随机化草图和极化码的概念，能够进行近似和精确的线性操作计算，并在实践中展示了其可扩展性。
Abstract
We present a novel
distributed computing framework
that is robust to slow compute nodes, and is capable of both approximate and exact computation of linear operations. The proposed mechanism integrates the concepts of
r
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