We consider the problem of secure distributed matrix multiplication (SDMM) in which a user
wishes to compute the product of two matrices with the assistance of honest but curious …

We introduce the problem of private computation, comprised of N distributed and non-
colluding servers, K independent datasets, and a user who wants to compute a function of …

The problem of X-secure T-private information retrieval from MDS coded storage is studied
in this paper, where the user wishes to privately retrieve one out of K independent messages …

A distributed computing scenario is considered, where the computational power of a set of
worker nodes is used to perform a certain computation task over a dataset that is dispersed …

Recently large language models (LLMs) have gained significant attention as they have
shown surprising signs of artificial general intelligence (AGI). Artificial intelligence and large …

The private search problem is introduced, where a dataset comprised of L iid records is
replicated across N non-colluding servers, and a user wishes to search for all records that …

Metaverse is an immersive and photorealistic shared virtual world that requires efficient
rendering and processing of millions of virtual objects and scenes. This leads to the …

In distributed computing system for the master-worker framework, an erasure code is able to
mitigate the effects of slow workers, also called stragglers. The distributed computing system …

Federated Learning (FL) is an interesting strategy that enables the collaborative training of
an AI model among different data owners without revealing their private datasets. Even so …

This work investigates the design of sparse secret sharing schemes that encode a sparse
private matrix into sparse shares. This investigation is motivated by distributed computing …