17 citations · 26 across the 2 of their papers we have counts for
Showing 2016 · cs.ITShow all
2 papers · 2 filters
cs.IT2016
On the Worst-case Communication Overhead for Distributed Data Shuffling
Mohamed Attia, Ravi Tandon
Distributed learning platforms for processing large scale data-sets are becoming increasingly prevalent. In typical distributed implementations, a centralized master node breaks th…
cs.IT2016
Information Theoretic Limits of Data Shuffling for Distributed Learning
Mohamed Attia, Ravi Tandon
Data shuffling is one of the fundamental building blocks for distributed learning algorithms, that increases the statistical gain for each step of the learning process. In each ite…