4 citations · 8 across the 11 of their papers we have counts for
6 papers · 1 filter
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
Kai Li, Yilei Liang, Xin Yuan +4
This letter puts forth a new hybrid horizontal-vertical federated learning (HoVeFL) for mobile edge computing-enabled Internet of Things (EdgeIoT). In this framework, certain EdgeI…
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities
Yousef Emami, Mohammadhossein Homaei, Miguel Gutiérrez Gaitán +4
Machine Learning (ML) has become central to Autonomous Vehicles (AVs), supporting perception, prediction, planning, control, and decision-making in dynamic environments. However, a…
On the Use of AI-Driven Immersive Digital Technologies for Designing and Operating UAVs
Yousef Emami, Mohammadhossein Homaei, Miguel Gutierrez Gaitan +1
Uncrewed Aerial Vehicles (UAVs) offer agile, cost-effective, and efficient solutions for communication relay networks. However, their modeling and control are challenging, and the…
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder
Jingjing Zheng, Xin Yuan, Kai Li +3
Recent attacks on federated learning (FL) can introduce malicious model updates that circumvent widely adopted Euclidean distance-based detection methods. This paper proposes a nov…
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
Kai Li, Xin Yuan, Jingjing Zheng +3
This paper puts forth a new training data-untethered model poisoning (MP) attack on federated learning (FL). The new MP attack extends an adversarial variational graph autoencoder…
Failure Analysis in Next-Generation Critical Cellular Communication Infrastructures
Siguo Bi, Xin Yuan, Shuyan Hu +4
The advent of communication technologies marks a transformative phase in critical infrastructure construction, where the meticulous analysis of failures becomes paramount in achiev…