Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 1 h ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

TrustLite-FL: multi-statistic trust aggregation for robust federated learning in consumer IoT

  • Israr Hussain
  • Hafiz Muhammad Sanaullah Badar
  • Faisal Alhwikem
Open at sourceDOICite

Related

  1. ATLAS: an adaptive threat learning and analysis system using heterogeneous federated deep learning and FedNova aggregation for multi-cloud environments
    Shakir Khan, Arvind Panwar, Achin Jain +5
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  2. Progressive-Resolution Secure Aggregation for Federated Learning
    Seyed Mohammad Azimi-Abarghouyi
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. Fundamental Limits of Information-Theoretic Secure Aggregation with User Dropouts in Federated Learning
    Jinbao Zhu, Kai Wan, Giuseppe Caire
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  4. Federated learning with adaptive reliability aware aggregation for privacy preserving healthcare IoT systems
    Vishal Barot, Jashvant Dave, Manoj R. +3
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  5. FFT-GA-BC: a fused federated transformer genetic algorithm framework with blockchain-secured, differentially private, homomorphically encrypted aggregation for mutation, phenotype, and binary-allele analysis.
    Muhammad Umar Nasir, Urva Rehmat, Abdul Khader Jilani Saudagar +3
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{hussain2026trustlitefl,
  title = {{TrustLite-FL: multi-statistic trust aggregation for robust federated learning in consumer IoT}},
  author = {Israr Hussain and Hafiz Muhammad Sanaullah Badar and Faisal Alhwikem},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76919-6},
  url = {https://www.nature.com/articles/s41598-026-76919-6},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - TrustLite-FL: multi-statistic trust aggregation for robust federated learning in consumer IoT
AU  - Israr Hussain
AU  - Hafiz Muhammad Sanaullah Badar
AU  - Faisal Alhwikem
PY  - 2026
DA  - 2026/10/29
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76919-6
UR  - https://www.nature.com/articles/s41598-026-76919-6
SN  - 2045-2322
ER  -