GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT

Zepeng Wang, Xiaogang Yuan, Jie Chen

Open source

DOI: 10.3389/frai.2026.1895239
Published: 2026-08-10
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1895239,
  title = {GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT},
  author = {Zepeng Wang and Xiaogang Yuan and Jie Chen},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1895239},
  url = {https://doi.org/10.3389/frai.2026.1895239}
}

RIS

TY  - JOUR
TI  - GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT
AU  - Zepeng Wang
AU  - Xiaogang Yuan
AU  - Jie Chen
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1895239
UR  - https://doi.org/10.3389/frai.2026.1895239
ER  -

APA

Wang, Z., Yuan, X., & Chen, J. (2026). GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1895239

Source records

crossref · retrieved 2026-09-25T18:09:09.935Z