Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 58 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

QLFL: quantum-enabled lightweight federated learning-empowered threat detection model for Internet of Medical Things based healthcare

Related

  1. 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
  2. Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification
    Venkatesh J, Viswanathan A
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
  3. PoSFed: stake-aware validator selection and update filtering for blockchain-coordinated healthcare federated learning
    Cheng-Shun Lee, Jenn-Jier James Lien
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  4. Adaptive federated ensemble learning with hyperparameter optimization for distributed healthcare IoT
    Abrar Almjally, Mudassir Khan, Alaa Menshawi +2
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  5. Federated learning with update level noise perturbation and blockchain audit logging for privacy-preserving healthcare ECG classification
    Manika Manwal, Gaurav Vishnu Londhe, Kamlesh Chandra Purohit
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
BibTeX
@article{baihan2026qlfl,
  title = {{QLFL: quantum-enabled lightweight federated learning-empowered threat detection model for Internet of Medical Things based healthcare}},
  author = {Abdullah Baihan and Azeem Irshad and Mohammed Amoon and Weiwei Jiang and Abebe Tamrat Tegene and Zabeeh Ullah},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75352-z},
  url = {https://www.nature.com/articles/s41598-026-75352-z},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - QLFL: quantum-enabled lightweight federated learning-empowered threat detection model for Internet of Medical Things based healthcare
AU  - Abdullah Baihan
AU  - Azeem Irshad
AU  - Mohammed Amoon
AU  - Weiwei Jiang
AU  - Abebe Tamrat Tegene
AU  - Zabeeh Ullah
PY  - 2026
DA  - 2026/10/09
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75352-z
UR  - https://www.nature.com/articles/s41598-026-75352-z
SN  - 2045-2322
ER  -