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 …

To fully exploit enormous data generated by intelligent devices in edge computing, edge
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …

We consider the critical problems of distributed computing and learning over data while
keeping it private from the computational servers. The state-of-the-art approaches to this …

Coded computing has emerged as a promising framework for tackling significant challenges
in large-scale distributed computing, including the presence of slow, faulty, or compromised …

Coded computing is recognized as a promising solution to address the privacy leakage
problem and the straggling effect in distributed computing. This technique leverages coding …

Resilience against stragglers is a critical element of prediction serving systems, tasked with
executing inferences on input data for a pre-trained machine-learning model. In this paper …

We consider a fully decentralized scenario in which no central trusted entity exists and all
clients are honest-but-curious. The state-of-the-art approaches to this problem often rely on …

Most of the current body of coding theory research has been dedicated to constructing codes
in discrete spaces with finite alphabet sizes. The progress accomplished in coding theory …

With the surge of AI services, prediction serving systems (PSSes) have been widely
deployed. PSSes are often run on many workers and thus are prone to stragglers …