7 citations · 14 across the 10 of their papers we have counts for
10 papers
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
Jinsheng Yuan, Zhuangkun Wei, Weisi Guo
Over-the-Air Federated Learning (OTA-FL) is a privacy-preserving distributed learning mechanism, by aggregating updates in the electromagnetic channel rather than at the server. A…
Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface
Zhuangkun Wei, Wenxiu Hu, Junqing Zhang +2
Reconfigurable intelligent surfaces (RIS) can both help and hinder the physical layer secret key generation (PL-SKG) of communications systems. Whilst a legitimate RIS can yield be…
Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI
Louise Axon, Dimitrios Panagiotakopoulos, Samuel Ayo +7
Air Traffic Management data systems today are inefficient and not scalable to enable future unmanned systems. Current data is fragmented, siloed, and not easily accessible. There i…
Securing IoT Communication using Physical Sensor Data -- Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning
Liang Wang, Zhuangkun Wei, Weisi Guo
Internet-of-Things (IoT) devices are often used to transmit physical sensor data over digital wireless channels. Traditional Physical Layer Security (PLS)-based cryptography approa…
Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation
Shubo Yang, Han Han, Yihong Liu +3
Secret key generation in physical layer security exploits the unpredictable random nature of wireless channels. The millimeter-wave (mmWave) channels have limited multipath and cha…
Random Matrix based Physical Layer Secret Key Generation in Static Channels
Zhuangkun Wei, Weisi Guo
Physical layer secret key generation exploits the reciprocal channel randomness for key generation and has proven to be an effective addition security layer in wireless communicati…
Regions of Attraction Estimation using Level SetMethod for Complex Network System
Mengbang Zou, Yu Huang, Weisi Guo
Many complex engineering systems network together functional elements and balance demand loads (e.g.information on data networks, electric power on grids). This allows load spikes…
Graph Layer Security: Encrypting Information via Common Networked Physics
Zhuangkun Wei, Liang Wang, Schyler Chengyao Sun +2
The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high-computational…
Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform
Zhuangkun Wei, Bin Li, Chengyao Sun +1
Networked nonlinear dynamics underpin the complex functionality of many engineering, social, biological, and ecological systems. Monitoring the networked dynamics via the minimum s…
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Alessio Pagani, Zhuangkun Wei, Ricardo Silva +1
Infrastructure monitoring is critical for safe operations and sustainability. Water distribution networks (WDNs) are large-scale networked critical systems with complex cascade dyn…