activity
20162022
most citedDistributed Reconfigurable Intelligent Surfaces for Energy Efficient Indoor Terahertz Wireless Communications

49 citations · 111 across the 6 of their papers we have counts for

collaborators

9 papers

eess.SP2022★ 49 cited

Distributed Reconfigurable Intelligent Surfaces for Energy Efficient Indoor Terahertz Wireless Communications

Yiming Huo, Xiaodai Dong, Nuwan Ferdinand

With the fifth-generation (5G) networks widely commercialized and fast deployed, the sixth-generation (6G) wireless communication is envisioned to provide competitive quality of se…

cs.LG2020★ 25 cited

Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization

Nuwan Ferdinand, Haider Al-Lawati, Stark C. Draper +1

Distributed optimization is vital in solving large-scale machine learning problems. A widely-shared feature of distributed optimization techniques is the requirement that all nodes…

cs.IT2019★ 32 cited

Hierarchical Coded Matrix Multiplication

Shahrzad Kiani, Nuwan Ferdinand, Stark C. Draper

In distributed computing systems slow working nodes, known as stragglers, can greatly extend finishing times. Coded computing is a technique that enables straggler-resistant comput…

cs.IT2019★ 2 cited

Cuboid Partitioning for Hierarchical Coded Matrix Multiplication

Shahrzad Kiani, Nuwan Ferdinand, Stark C. Draper

Coded matrix multiplication is a technique to enable straggler-resistant multiplication of large matrices in distributed computing systems. In this paper, we first present a concep…

cs.IT2019

Hierarchical Coded Matrix Multiplication

Shahrzad Kiani, Nuwan Ferdinand, Stark C. Draper

Slow working nodes, known as stragglers, can greatly reduce the speed of distributed computation. Coded matrix multiplication is a recently introduced technique that enables stragg…

cs.LG2018★ 3 cited

Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers

Nuwan Ferdinand, Stark Draper

In this paper, we focus on approaches to parallelizing stochastic gradient descent (SGD) wherein data is farmed out to a set of workers, the results of which, after a number of upd…