3 papers
cs.LG2026
GCA: Global Centroid Alignment in Federated Learning
Jong-Ik Park, Harry Jiang, Logan Blakely +3
Autoencoder (AE)-based federated learning (FL) is attractive for anomaly detection when clients have limited local data. However, conventional FL exchanges AE parameters or gradien…
eess.SY2024
A Reinforcement Learning Engine with Reduced Action and State Space for Scalable Cyber-Physical Optimal Response
Shining Sun, Khandaker Akramul Haque, Xiang Huo +4
Numerous research studies have been conducted to enhance the resilience of cyber-physical systems (CPSs) by detecting potential cyber or physical disturbances. However, the develop…
eess.SY2024
CyberDep: Towards the Analysis of Cyber-Physical Power System Interdependencies Using Bayesian Networks and Temporal Data
Leen Al Homoud, Katherine Davis, Shamina Hossain-McKenzie +1
Modern-day power systems have become increasingly cyber-physical due to the ongoing developments to the grid that include the rise of distributed energy generation and the increase…