Iterative sketching for secure coded regression

N Charalambides, H Mahdavifar… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Linear regression is a fundamental and primitive problem in supervised machine learning,
with applications ranging from epidemiology to finance. In this work, we propose methods for …

Analog Multi-Party Computing: Locally Differential Private Protocols for Collaborative Computations

HP Liu, M Soleymani, H Mahdavifar - arxiv preprint arxiv:2308.12544, 2023 - arxiv.org
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 …

Coding theory and randomized sketching for distributed optimization

N Charalambides - 2023 - search.proquest.com
With the advent of massive datasets, distributed techniques for processing information and
carrying out computations are expected to enable exceptional possibilities for engineering …

Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise

VR Cadambe, H Jeong… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We consider the problem of private distributed multiparty computation. It is well-established
that coding strategies can enable perfect information-theoretic privacy in distributed …

An Updated Research Vision of the Next Generation Network After Several Years on the 6G Journey

P Vetter - IEEE BITS the Information Theory Magazine, 2023 - ieeexplore.ieee.org
Significant progress has been made since the research community explicitly started defining
a vision for 6th generation network (6G). The goal of the this article is to revisit research …