Privacy-Preserving Artificial Intelligence in Digital Learning: A Systematic Review of Federated Learning, Differential Privacy, Security, and Educational Utility in Higher Education
- DOI
- 10.21203/rs.3.rs-10922594/v1
- Published
- 2026-10-19
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10922594/v1,
title = {Privacy-Preserving Artificial Intelligence in Digital Learning: A Systematic Review of Federated Learning, Differential Privacy, Security, and Educational Utility in Higher Education},
author = {ADESEGUN NURUDEEN OSIJIRIN and Oliver Okechukwu and Leonard C. Anigbo},
year = {2026},
doi = {10.21203/rs.3.rs-10922594/v1},
url = {https://doi.org/10.21203/rs.3.rs-10922594/v1}
}RIS
TY - JOUR TI - Privacy-Preserving Artificial Intelligence in Digital Learning: A Systematic Review of Federated Learning, Differential Privacy, Security, and Educational Utility in Higher Education AU - ADESEGUN NURUDEEN OSIJIRIN AU - Oliver Okechukwu AU - Leonard C. Anigbo PY - 2026 DO - 10.21203/rs.3.rs-10922594/v1 UR - https://doi.org/10.21203/rs.3.rs-10922594/v1 ER -
APA
OSIJIRIN, A. N., Okechukwu, O., & Anigbo, L. C. (2026). Privacy-Preserving Artificial Intelligence in Digital Learning: A Systematic Review of Federated Learning, Differential Privacy, Security, and Educational Utility in Higher Education. https://doi.org/10.21203/rs.3.rs-10922594/v1
Source records
- crossref · retrieved 2026-11-10T14:36:37.631Z