Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 41 min ago
Peer-reviewedCC BY 4.0Scientific Reports

Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification

Related

  1. A lightweight privacy-aware federated vision transformer for tomato leaf disease classification
    Debangana Ram, Manasi Gyanchandani, Akhtar Rasool +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textPlant biologyCrossref
  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. QLFL: quantum-enabled lightweight federated learning-empowered threat detection model for Internet of Medical Things based healthcare
    Abdullah Baihan, Azeem Irshad, Mohammed Amoon +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  4. A hybrid quantum algorithm for multi-resolution arrhythmia classification
    Melvin Yashnil Ramkhelawan, Santoso Wibowo, Srimannarayana Grandhi +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCardiovascular medicineCrossref
  5. ArrhythmiaVision: resource-conscious deep learning models with visual explanations for ECG arrhythmia classification
    Z. Tanveer Baig, Sidra Nasir, Rizwan Ahmed Khan +1
    The Journal of SupercomputingPeer-reviewedLicence not statedFull text11 citedCardiovascular medicineOpenAlex
BibTeX
@article{venkatesh2026lightweight,
  title = {{Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification}},
  author = {Venkatesh J and Viswanathan A},
  journal = {Scientific Reports},
  year = {2026},
  month = nov,
  doi = {10.1038/s41598-026-77757-2},
  url = {https://www.nature.com/articles/s41598-026-77757-2},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification
AU  - Venkatesh J
AU  - Viswanathan A
PY  - 2026
DA  - 2026/11/04
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77757-2
UR  - https://www.nature.com/articles/s41598-026-77757-2
SN  - 2045-2322
ER  -