On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning

DOI10.1109/TIT.2020.2964547zbMath1448.68093arXiv1807.04255MaRDI QIDQ5123917

Soheil Mohajer, Adel Elmahdy

Publication date: 29 September 2020

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1807.04255

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Distributed systems (68M14)

This page was built for publication: On the Fundamental Limits of Coded Data Shuffling for Distributed Machine Learning