EcoStack-Pro: an adaptive federated learning framework for interpretable ESG auditing across heterogeneous industrial sectors.

Azad MAK, Masum AKM, Rahman MA, Bhuiyan MTA, Noori FM, Uddin MZ

DOI: 10.3389/frai.2026.1813511
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1813511,
  title = {EcoStack-Pro: an adaptive federated learning framework for interpretable ESG auditing across heterogeneous industrial sectors.},
  author = {Azad MAK and Masum AKM and Rahman MA and Bhuiyan MTA and Noori FM and Uddin MZ},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1813511},
  url = {https://doi.org/10.3389/frai.2026.1813511}
}

RIS

TY  - JOUR
TI  - EcoStack-Pro: an adaptive federated learning framework for interpretable ESG auditing across heterogeneous industrial sectors.
AU  - Azad MAK
AU  - Masum AKM
AU  - Rahman MA
AU  - Bhuiyan MTA
AU  - Noori FM
AU  - Uddin MZ
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1813511
UR  - https://doi.org/10.3389/frai.2026.1813511
ER  -

APA

MAK, A., AKM, M., MA, R., MTA, B., FM, N., & MZ, U. (2026). EcoStack-Pro: an adaptive federated learning framework for interpretable ESG auditing across heterogeneous industrial sectors.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1813511

Source records

pubmed · retrieved 2026-09-26T05:45:30.547Z