A Mallick, S Smith, G Joshi - 2021 11th International …, 2021 - ieeexplore.ieee.org
Machine learning today involves massive distributed computations running on cloud servers, which are highly susceptible to slowdown or straggling. Recent work has …
Y Wang, Y Wu - arXiv preprint arXiv:2201.06300, 2022 - arxiv.org
Coded distributed computing (CDC) can reduce the communication load for distributed computing systems by introducing redundant computation and creating multicasting …
N Woolsey, RR Chen, M Ji - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Coded distributed computing (CDC) introduced by Li et al. in 2015 offers an efficient approach to trade computing power to reduce the communication load in general distributed …
A Saxena, K Rose - Data Compression Conference (dcc 2008), 2008 - ieeexplore.ieee.org
This paper considers the problem of distributed scalable coding of correlated sources that are communicated to a central unit. The general setting is typically encountered in sensor …
S Li, MA Maddah-Ali… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Communication overhead is one of the major performance bottlenecks in large-scale distributed computing systems, especially for machine learning applications. Conventionally …
Coded computation is a framework for providing redundancy in distributed computing systems to make them robust to slower nodes, or stragglers. In [1], the authors propose a …
W Kim, S Kruglik, HM Kiah - 2023 IEEE Information Theory …, 2023 - ieeexplore.ieee.org
We consider the problem of evaluating arbitrary multivariate polynomials over several massive datasets in a distributed computing system with a single master node and multiple …