Most of our lives are conducted in the cyberspace. The human notion of privacy translates
into a cyber notion of privacy on many functions that take place in the cyberspace. This …

Stragglers, Byzantine workers, and data privacy are the main bottlenecks in distributed cloud
computing. Some prior works proposed coded computing strategies to jointly address all …

Distributed computing has emerged as a promising solution for accelerating machine
learning training processes on large-scale datasets by leveraging the parallel processing …

The work considers the $ N $-server distributed computing scenario with $ K $ users
requesting functions that are linearly-decomposable over an arbitrary basis of $ L $ real …

In this work, we explore the problem of multi-user linearly-separable distributed computation,
where servers help compute the desired functions (jobs) of users, and where each desired …

We consider the problem of designing secure and private codes for distributed matrix-matrix
multiplication. A master server owns two private matrices and hires worker nodes to help …

Coded computing has proved its efficiency in handling a straggler issue in distributed
computing framework. It uses error correcting codes to mitigate the effect of the stragglers …

Due to the surge of cloud-assisted AI services, the problem of designing resilient prediction
serving systems that can effectively cope with stragglers and minimize response delays has …

The multi-user linearly-separable distributed computing problem is considered here, in
which N servers help to compute the real-valued functions requested by K users, where …

We consider the problem of coded distributed computing where a large linear computational
job, such as a matrix multiplication, is divided into smaller tasks, encoded using an linear …