In this paper, we propose a distributed coding scheme that allows for lower computation cost
per computing node than the standard Lagrange Coded Computing scheme. The proposed …

Coded distributed computing was recently introduced to mitigate the effect of stragglers on
distributed computing systems. This paper combines ideas of approximate and coded …

Coded distributed computing introduced by Li et al. in 2015 is an efficient approach to trade
computing power to reduce the communication load in general distributed computing …

Coding for distributed computing supports low-latency computation by relieving the burden
of straggling workers. While most existing works assume a simple master-worker model, we …

Coded computation techniques provide robustness against straggling workers in distributed
computing. However, most of the existing schemes require exact provisioning of the …

Coded computation is a framework which provides redundancy in distributed computing
systems to speed up large-scale tasks. Although most existing works assume error-free …

Coded distributed computing (CDC) can alleviate the communication load in distributed
computing systems by leveraging coding opportunities via redundant computation. While the …

Communication overhead is one of the major performance bottlenecks in large-scale
distributed computing systems, in particular for machine learning applications …

Large-scale distributed computing systems face two major bottlenecks that limit their
scalability: straggler delay caused by the variability of computation times at different worker …

Coded distributed computing (CDC) is an efficient method to reduce the communication load
in general distributed computing frameworks such as MapReduce. In these systems, one …