2 papers
cs.LG2025
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
Yunfeng Li, Junhong Liu, Zhaohui Yang +2
False Data Injection Attacks (FDIAs) pose severe security risks to smart grids by manipulating measurement data collected from spatially distributed devices such as SCADA systems a…
cs.LG2025
Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model
Yunfeng Li, Junhong Liu, Zhaohui Yang +2
Deep learning models have been widely adopted for False Data Injection Attack (FDIA) detection in smart grids due to their ability to capture unstructured and sparse features. Howe…