We consider the problem of secure distributed matrix computation (SDMC), where a user
queries a function of data matrices generated at distributed source nodes. We assume the …

The rapid growth in scale and complexity of mobile applications fosters the development of
the coded edge computing paradigm. By exploiting the redundancy in the encoded …

Coded computing is an effective technique to mitigate “stragglers” in large-scale and
distributed matrix multiplication. In particular, univariate polynomial codes have been shown …

A majority of coded matrix-matrix computation literature has broadly focused in two
directions: matrix partitioning for computing a single computation task and batch processing …

We consider the problem of private distributed matrix multiplication under limited resources.
Coded computation has been shown to be an effective solution in distributed matrix …

Coded distributed computing is an effective framework to improve the speed of distributed
computing systems by mitigating stragglers (temporarily slow workers). In essence, coded …

We consider the problem of secure distributed matrix multiplication (SDMM). Coded
computation has been shown to be an effective solution in distributed matrix multiplication …

This paper considers the design of heterogeneous multi-cloud systems for big data storage
and computing in the presence of cloud collusion and failures. A fundamental concept of …