An efficient hybrid federated learning framework for pneumonia diagnosis with proximal optimization and parameter-efficient adaptation.

Gupta C, Gupta R, Gill NS, Gulia P, Shukla PK, Pandey A

Open source

DOI
10.1186/s13040-026-00543-3
Published
2026 Apr 11
Container
BioData mining
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1186/s13040-026-00543-3,
  title = {An efficient hybrid federated learning framework for pneumonia diagnosis with proximal optimization and parameter-efficient adaptation.},
  author = {Gupta C and Gupta R and Gill NS and Gulia P and Shukla PK and Pandey A},
  year = {2026},
  journal = {BioData mining},
  doi = {10.1186/s13040-026-00543-3},
  url = {https://doi.org/10.1186/s13040-026-00543-3}
}

RIS

TY  - JOUR
TI  - An efficient hybrid federated learning framework for pneumonia diagnosis with proximal optimization and parameter-efficient adaptation.
AU  - Gupta C
AU  - Gupta R
AU  - Gill NS
AU  - Gulia P
AU  - Shukla PK
AU  - Pandey A
PY  - 2026
JO  - BioData mining
DO  - 10.1186/s13040-026-00543-3
UR  - https://doi.org/10.1186/s13040-026-00543-3
ER  -

APA

C, G., R, G., NS, G., P, G., PK, S., & A, P. (2026). An efficient hybrid federated learning framework for pneumonia diagnosis with proximal optimization and parameter-efficient adaptation.. BioData mining. https://doi.org/10.1186/s13040-026-00543-3

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