Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …

Abstract Function-as-a-Service (FaaS) is one form of the serverless cloud computing
paradigm and is defined through FaaS platforms (eg, AWS Lambda) executing event …

We introduce the concept of “coded computing”, a novel computing paradigm that utilizes
coding theory to effectively inject and leverage data/computation redundancy to mitigate …

Large-scale machine learning and data mining applications require computer systems to
perform massive matrix-vector and matrix-matrix multiplication operations that need to be …

Large-scale machine learning and data mining applications require computer systems to
perform massive matrix-vector and matrix-matrix multiplication operations that need to be …

In this article, we consider a secure multi-party computation problem (MPC), where the goal
is to offload the computation of an arbitrary polynomial function of some massive private …

In this paper, we propose CodedSketch, as a distributed straggler-resistant scheme to
compute an approximation of the multiplication of two massive matrices. The objective is to …

Motivated by recent developments in serverless systems for large-scale computation as well
as improvements in scalable randomized matrix algorithms, we develop OverSketched …

Distributed computing has become a common approach for large-scale computation of tasks
due to benefits such as high reliability, scalability, computation speed, and costeffectiveness …

Large-scale computations are ubiquitous and demand exorbitant resources, with matrix
multiplication being a prominent example. Multiplying high-dimensional matrices is …