Chengzu Dong
YOU?
Author Swipe
View article: RA3T: An Innovative Region-Aligned 3D Transformer for Self-Supervised Sim-to-Real Adaptation in Low-Altitude UAV Vision
RA3T: An Innovative Region-Aligned 3D Transformer for Self-Supervised Sim-to-Real Adaptation in Low-Altitude UAV Vision Open
Low-altitude unmanned aerial vehicle (UAV) vision is critically hindered by the Sim-to-Real Gap, where models trained exclusively on simulation data degrade under real-world variations in lighting, texture, and weather. To address this pro…
View article: HyADS: A Hybrid Lightweight Anomaly Detection Framework for Edge-Based Industrial Systems with Limited Data
HyADS: A Hybrid Lightweight Anomaly Detection Framework for Edge-Based Industrial Systems with Limited Data Open
Industrial defect detection in edge computing environments faces critical challenges in balancing accuracy, efficiency, and adaptability under data scarcity. To address these limitations, we propose the Hybrid Anomaly Detection System (HyA…
View article: MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network
MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network Open
Frequent fluctuations of client nodes in highly dynamic mobile clusters can lead to significant changes in feature space distribution and data drift, posing substantial challenges to the robustness of existing federated learning (FL) strat…
View article: Optimizing UAV delivery for pervasive systems through blockchain integration and adversarial machine learning
Optimizing UAV delivery for pervasive systems through blockchain integration and adversarial machine learning Open
View article: FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system
FedShufde: A privacy preserving framework of federated learning for edge-based smart UAV delivery system Open
View article: Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics
Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics Open
Artificial intelligence and the Internet of Things (IoT) have brought great convenience to people’s everyday lives. With the emergence of edge computing, IoT devices such as unmanned aerial vehicles (UAVs) can process data instantly at the…
View article: A privacy-preserving location data collection framework for intelligent systems in edge computing
A privacy-preserving location data collection framework for intelligent systems in edge computing Open
With the rise of smart city applications, the accessibility of users' location data by smart devices has increased significantly. However, this poses a privacy concern as attackers can deduce personal information from the raw location data…
View article: TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program
TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program Open
View article: Enhancing quality of service through federated learning in edge-cloud architecture
Enhancing quality of service through federated learning in edge-cloud architecture Open
The traditional cloud computing paradigm faces challenges with the increasing number of Artificial Intelligence of Things (AIoT) devices generated at the network edge. Edge computing provides a novel approach to overcoming the limitations …
View article: A hybrid cyber defense framework for reconnaissance attack in industrial control systems
A hybrid cyber defense framework for reconnaissance attack in industrial control systems Open
The convergence of information technology (IT) and operation technology (OT) has made Industrial Control Systems (ICS) a popular target for cyberattacks in recent years. Unlike traditional networks, enhancing availability is the ICS networ…
View article: Optimizing Performance in Federated Person Re-Identification through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems
Optimizing Performance in Federated Person Re-Identification through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems Open
In recent years, edge-based intelligent UAV delivery systems have attracted significant interest from both the academic and industrial sectors. One key obstacle faced by these smart UAV delivery systems is data privacy, as they rely on vas…