18 citations · 21 across the 7 of their papers we have counts for
7 papers
Optimization Framework for Splitting DNN Inference Jobs over Computing Networks
Sehun Jung, Hyang-Won Lee
Ubiquitous artificial intelligence (AI) is considered one of the key services in 6G systems. AI services typically rely on deep neural network (DNN) requiring heavy computation. He…
On the Robustness of Distributed Computing Networks
Jianan Zhang, Hyang-Won Lee, Eytan Modiano
Traffic flows in a distributed computing network require both transmission and processing, and can be interdicted by removing either communication or computation resources. We stud…
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System
Hyang-Won Lee, Jianan Zhang, Eytan Modiano
Identifying the location of a disturbance and its magnitude is an important component for stable operation of power systems. We study the problem of localizing and estimating a dis…
Robust Design of Spectrum-Sharing Networks
Qingkai Liang, Hyang-Won Lee, Eytan Modiano
In spectrum-sharing networks, primary users have the right to preempt secondary users, which significantly degrades the performance of underlying secondary users. In this paper, we…
Survivable Paths in Multilayer Networks
Marzieh Parandehgheibi, Hyang-Won Lee, Eytan Modiano
We consider protection problems in multilayer networks. In single-layer networks, a pair of disjoint paths can be used to provide protection for a source-destination pair. However,…
Maximizing Reliability in WDM Networks through Lightpath Routing
Hyang-Won Lee, Kayi Lee, Eytan Modiano
We study the reliability maximization problem in WDM networks with random link failures. Reliability in these networks is defined as the probability that the logical network is con…
Delay-Optimal Data Forwarding in Vehicular Sensor Networks
Okyoung Choi, Seokhyun Kim, Jaeseong Jeong +2
Vehicular Sensor Network (VSN) is emerging as a new solution for monitoring urban environments such as Intelligent Transportation Systems and air pollution. One of the crucial fact…