Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated just now
Peer-reviewedCC BYSensors (Basel, Switzerland)

VFedA: A Vertical Federated Learning Framework with Relational Alignment for Cross-Regional False Data Injection Attack Detection in Smart Grids

  1. 1Guizhou Power Grid Digital Intelligence Center, Guizhou Power Grid Co., Ltd., Guiyang 550081, China;
  2. 2College of Computer Science and Technology, , Guiyang 550025, China;
  3. 3College of Control Science and Engineering, , Hangzhou 310027, China

Related

  1. Mathematical modelling of ensemble-based federated learning framework for false data injection attacks detection in artificial intelligence of things
    D. Yakobu, S. Praveena, E. Laxmi Lydia +4
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
  2. A resource-aware framework for energy and bandwidth efficient IoT intrusion detection using lightweight federated learning over SDN
    Hossein Baghalzadeh, Nahideh Derakhshanfard, Masoud Kargar +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  3. A federated learning framework for anomaly detection in electric vehicle charging networks
    Aqsa Rehman, Muhammad Ibrahim, Nadeem Sarwar +3
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
  4. Robust federated learning for detecting false data injection attacks in advanced metering infrastructure under non-IID data
    Yuan Wei, Gangjun Gong, Longbiao Cao
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  5. FedEAVE: federated evidence alignment and causal diagnosis for privacy-preserving personalized learning
    Yan Zeng, Xuanyun Wang, Lai-Kuan Kong
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
BibTeX
@article{yan2026vfeda,
  title = {{VFedA: A Vertical Federated Learning Framework with Relational Alignment for Cross-Regional False Data Injection Attack Detection in Smart Grids}},
  author = {Binyuan Yan and Guozhi Yang and Xin Che and Xiaohan Huang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13667704},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - VFedA: A Vertical Federated Learning Framework with Relational Alignment for Cross-Regional False Data Injection Attack Detection in Smart Grids
AU  - Binyuan Yan
AU  - Guozhi Yang
AU  - Xin Che
AU  - Xiaohan Huang
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667704
SN  - 1424-8220
ER  -