Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 9 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Robust federated learning for detecting false data injection attacks in advanced metering infrastructure under non-IID data

Related

  1. VFedA: A Vertical Federated Learning Framework with Relational Alignment for Cross-Regional False Data Injection Attack Detection in Smart Grids
    Binyuan Yan, Guozhi Yang, Xin Che +1
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  2. 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
  3. A summary guide for detecting and reducing nitrous oxide infrastructure leaks in healthcare facilities
    Eugenie A. Kayak, Rebecca E. McIntyre, Forbes McGain +5
    Anaesthesia and Intensive CarePeer-reviewedCC BY 4.0Full text1 citedPhysiologyPMC
  4. Mapping Country-Level Structural Capacity Constraints in Brachytherapy Infrastructure for Locally Advanced Cervical Cancer in the Americas: A cross-sectional study
    David Viveros-Carreño, Nathalia Mora-Soto, Isabel Beshar +7
    International journal of gynecological cancer : official journal of the International Gynecological Cancer SocietyPeer-reviewedLicence not statedFull textMedical imaging & radiologyPMC
  5. High-Performance SnO2 Ink for Detecting Low-Temperature H2S Gas with Advanced Dispensing Printing Technology
    Sufaid Shah, Jesse Nii Okai Amu-Darko, Xingzuo Song +2
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
BibTeX
@article{wei2026robust,
  title = {{Robust federated learning for detecting false data injection attacks in advanced metering infrastructure under non-IID data}},
  author = {Yuan Wei and Gangjun Gong and Longbiao Cao},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-72303-6},
  url = {https://www.nature.com/articles/s41598-026-72303-6},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Robust federated learning for detecting false data injection attacks in advanced metering infrastructure under non-IID data
AU  - Yuan Wei
AU  - Gangjun Gong
AU  - Longbiao Cao
PY  - 2026
DA  - 2026/10/23
JO  - Scientific Reports
DO  - 10.1038/s41598-026-72303-6
UR  - https://www.nature.com/articles/s41598-026-72303-6
SN  - 2045-2322
ER  -