7 citations · 15 across the 9 of their papers we have counts for
9 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…
How to Find Opinion Leader on the Online Social Network?
Bailu Jin, Mengbang Zou, Zhuangkun Wei +1
Online social networks (OSNs) provide a platform for individuals to share information, exchange ideas, and build social connections beyond in-person interactions. For a specific to…
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…
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process
Schyler C. Sun, Bailu Jin, Zhuangkun Wei +1
The causal mechanism between climate and political violence is fraught with complex mechanisms. Current quantitative causal models rely on one or more assumptions: (1) the climate…
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…
Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
Chen Li, Schyler C. Sun, Zhuangkun Wei +2
Increased drone proliferation in civilian and professional settings has created new threat vectors for airports and national infrastructures. The economic damage for a single major…
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Schyler C. Sun, Chen Li, Zhuangkun Wei +2
Achieving transparency in black-box deep learning algorithms is still an open challenge. High dimensional features and decisions given by deep neural networks (NN) require new algo…
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…