1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SY2022
CoDGraD: A Code-based Distributed Gradient Descent Scheme for Decentralized Convex Optimization
Elie Atallah, Nazanin Rahnavard, Qiyu Sun
In this paper, we consider a large network containing many regions such that each region is equipped with a worker with some data processing and communication capability. For such…
math.OC2021★ 1 cited
Straggler-Robust Distributed Optimization in Parameter-Server Networks
Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha
Optimization in distributed networks plays a central role in almost all distributed machine learning problems. In principle, the use of distributed task allocation has reduced the…
cs.IT2013★ 1 cited
Recovery of bilevel causal signals with finite rate of innovation using positive sampling kernels
Gayatri Ramesh, Elie Atallah, Qiyu Sun
Bilevel signal with maximal local rate of innovation is a continuous-time signal that takes only two values 0 and 1 and that there is at most one transition position in any…