Research & Publications

1 

Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine

Authors: Li N, Lewin A, Ning S, Waito M, Zeller MP, Tinmouth A, et al. Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine. Transfusion. 2024. https://doi.org/10.1111/trf. 18077

2

Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study

Authors: Li N, Riazi K, Pan J, et al. Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study. Intensive Care Med Exp. 2025;13(1):37. Published 2025 Mar 20. doi:10.1186/s40635-025-00744-w

3

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Authors: H Zhu, J Bai, N Li, X Li, D Liu, DL Buckeridge, Y Li
npj Digital Medicine 8 (1), 286

4

Federated blood supply chain demand forecasting: a case study

Authors: H Wei, N Li, J Wu, J Zhou, S Drew
International Workshop on Federated Learning for Distributed Data Mining