220 citations · 609 across the 49 of their papers we have counts for
27 papers · 1 filter
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks
Chee Wei Tan, Pei-Duo Yu, Siya Chen +1
Digital contact tracing aims to curb epidemics by identifying and mitigating public health emergencies through technology. Backward contact tracing, which tracks the sources of inf…
Toward Secure and Private Over-the-Air Federated Learning
Na Yan, Kezhi Wang, Kangda Zhi +3
In this paper, a novel secure and private over-the-air federated learning (SP-OTA-FL) framework is studied where noise is employed to protect data privacy and system security. Spec…
Spreading Processes with Mutations over Multi-layer Networks
Mansi Sood, Anirudh Sridhar, Rashad Eletreby +4
A key scientific challenge during the outbreak of novel infectious diseases is to predict how the course of the epidemic changes under different countermeasures that limit interact…
Cascading Failures in Power Grids
Rounak Meyur
This paper studies the consequences of a human-initiated targeted attack on the national electric power system. We consider two kinds of attacks: () an attack by an adversary th…
Ensembles of Realistic Power Distribution Networks
Rounak Meyur, Anil Vullikanti, Samarth Swarup +5
The power grid is going through significant changes with the introduction of renewable energy sources and incorporation of smart grid technologies. These rapid advancements necessi…
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
Yining Wang, Mingzhe Chen, Tao Luo +4
In this paper, a semantic communication framework is proposed for textual data transmission. In the studied model, a base station (BS) extracts the semantic information from textua…