BCFL-DAI-PUB: Blockchain-integrated federated learning with dynamic adaptive incentives for privacy-utility balanced credit risk modelling

Padmaja Ramachandra, Santhi Vaithiyanathan

Open source

DOI: 10.1371/journal.pone.0361223
Published: 2026-10-29
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0361223,
  title = {BCFL-DAI-PUB: Blockchain-integrated federated learning with dynamic adaptive incentives for privacy-utility balanced credit risk modelling},
  author = {Padmaja Ramachandra and Santhi Vaithiyanathan},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0361223},
  url = {https://doi.org/10.1371/journal.pone.0361223}
}

RIS

TY  - JOUR
TI  - BCFL-DAI-PUB: Blockchain-integrated federated learning with dynamic adaptive incentives for privacy-utility balanced credit risk modelling
AU  - Padmaja Ramachandra
AU  - Santhi Vaithiyanathan
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0361223
UR  - https://doi.org/10.1371/journal.pone.0361223
ER  -

APA

Ramachandra, P., & Vaithiyanathan, S. (2026). BCFL-DAI-PUB: Blockchain-integrated federated learning with dynamic adaptive incentives for privacy-utility balanced credit risk modelling. PLOS One. https://doi.org/10.1371/journal.pone.0361223

Source records

crossref · retrieved 2026-11-10T11:07:06.546Z