Federated learning for teacher data privacy protection: a study in the context of the PIPL

Shanwei Chen, Xiu Zhi Qi, Xue Hui Han, Zhao Chen Fan, Le Le Wang

Open source

DOI: 10.3389/fdata.2026.1681382
Published: 2026-02-09
Container: Frontiers in Big Data
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1681382,
  title = {Federated learning for teacher data privacy protection: a study in the context of the PIPL},
  author = {Shanwei Chen and Xiu Zhi Qi and Xue Hui Han and Zhao Chen Fan and Le Le Wang},
  year = {2026},
  journal = {Frontiers in Big Data},
  doi = {10.3389/fdata.2026.1681382},
  url = {https://doi.org/10.3389/fdata.2026.1681382}
}

RIS

TY  - JOUR
TI  - Federated learning for teacher data privacy protection: a study in the context of the PIPL
AU  - Shanwei Chen
AU  - Xiu Zhi Qi
AU  - Xue Hui Han
AU  - Zhao Chen Fan
AU  - Le Le Wang
PY  - 2026
JO  - Frontiers in Big Data
DO  - 10.3389/fdata.2026.1681382
UR  - https://doi.org/10.3389/fdata.2026.1681382
ER  -

APA

Chen, S., Qi, X. Z., Han, X. H., Fan, Z. C., & Wang, L. L. (2026). Federated learning for teacher data privacy protection: a study in the context of the PIPL. Frontiers in Big Data. https://doi.org/10.3389/fdata.2026.1681382

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crossref · retrieved 2026-11-10T06:35:26.466Z