4 papers
Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers
Junhong Liu, Lanxin Du, Yujia Li +4
Data centers play an increasingly critical role in societal digitalization, yet their rapidly growing energy demand poses significant challenges for sustainable operation. To enhan…
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…
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…
Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid
Yunfeng Li, Jiqun Zhang, Guofu Liao +2
With rapid advancements in artificial intelligence, question-answering (Q&A) systems have become essential in intelligent search engines, virtual assistants, and customer service p…