2 citations · 2 across the 5 of their papers we have counts for
5 papers
Personalized Federated Learning for Tensor Regression
Kejun Chen, Xianqi Wei, Qianqian Zhu
The growing availability of tensor-valued data across multiple institutions creates opportunities for collaborative analysis, but also raises challenges related to data privacy, hi…
Private Federated Learning for High-dimensional Time Series
Kejun Chen, Qianqian Zhu
In the era of big data, leveraging information from multiple clients while preserving data privacy has emerged as a critical challenge in modern statistical modeling and forecastin…
Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability
Pooja Aslami, Kejun Chen, Timothy M. Hansen +1
False data injection attacks (FDIAs) on smart inverters are a growing concern linked to increased renewable energy production. While data-based FDIA detection methods are also acti…
Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection
Kejun Chen, Truc Nguyen, Abhijeet Sahu +1
Smart inverters are instrumental in the integration of distributed energy resources into the electric grid. Such inverters rely on communication layers for continuous control and m…
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method
Abhijeet Sahu, Truc Nguyen, Kejun Chen +2
With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disru…