A federated attention-based stacked LSTM framework for interpretable malaria diagnosis under simulated non-IID federated conditions

Sangeetha Murugan; K. Thirunadanasikamani; Komal Kumar Napa; Haiter Lenin Allasi; S. Sathya; G. Geethamahalakshmi; Rajkumar Govindarajan; Mary Vasanthi Soosaimariyan

doi:10.1038/s41598-026-62791-x

A federated attention-based stacked LSTM framework for interpretable malaria diagnosis under simulated non-IID federated conditions

S Sangeetha Murugan K K. Thirunadanasikamani K Komal Kumar Napa H Haiter Lenin Allasi S S. Sathya G G. Geethamahalakshmi R Rajkumar Govindarajan M Mary Vasanthi Soosaimariyan

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 1, Issue 1

Published July 17, 2026

DOI 10.1038/s41598-026-62791-x

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

S

Sangeetha Murugan

K

K. Thirunadanasikamani

K

Komal Kumar Napa

H

Haiter Lenin Allasi

S

S. Sathya

G

G. Geethamahalakshmi

R

Rajkumar Govindarajan

M

Mary Vasanthi Soosaimariyan

A federated attention-based stacked LSTM framework for interpretable malaria diagnosis under simulated non-IID federated conditions

Article Details

Journal Info

Authors (8)

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