169 citations · 484 across the 36 of their papers we have counts for
36 papers
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation
Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem
Satellite technologies have advanced drastically in recent years, leading to a heated interest in launching small satellites into low Earth orbit (LEOs) to collect massive data suc…
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention
Raja Sunkara, Tie Luo
We introduce YOGA, a deep learning based yet lightweight object detection model that can operate on low-end edge devices while still achieving competitive accuracy. The YOGA archit…
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Tao Wu, Tie Luo, Donald C. Wunsch
Adversarial examples (AE) with good transferability enable practical black-box attacks on diverse target models, where insider knowledge about the target models is not required. Pr…
One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes
Mohamed Elmahallawy, Tie Luo
A Low Earth orbit (LEO) satellite constellation consists of a large number of small satellites traveling in space with high mobility and collecting vast amounts of mobility data su…
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing
Ronit Das, Tie Luo
Anomaly detection is widely used in a broad range of domains from cybersecurity to manufacturing, finance, and so on. Deep learning based anomaly detection has recently drawn much…
Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World
Jiadi Du, Tie Luo
With the advances of IoT developments, copious sensor data are communicated through wireless networks and create the opportunity of building Digital Twins to mirror and simulate th…