160 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of SingaporeSG12 papers
- Duke-NUS Medical SchoolSG11 papers
- Singapore General HospitalSG11 papers
- Duke UniversityUS10 papers
- Institute of Data ScienceSG6 papers
- National University HospitalSG3 papers
- Singapore University of Technology and DesignSG3 papers
- Institute of High Performance ComputingSG2 papers
- Monash UniversityAU2 papers
- Monash University MalaysiaMY2 papers
- Nanyang Technological UniversitySG2 papers
- Nottingham Trent UniversityGB2 papers
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 16 cited
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches
Siqi Li, Di Miao, Qiming Wu +9
Federated learning (FL) has shown promising potential in safeguarding data privacy in healthcare collaborations. While the term "FL" was originally coined by the engineering commun…
cs.LG2023★ 13 cited
FedScore: A privacy-preserving framework for federated scoring system development
Siqi Li, Yilin Ning, Marcus Eng Hock Ong +8
We propose FedScore, a privacy-preserving federated learning framework for scoring system generation across multiple sites to facilitate cross-institutional collaborations. The Fed…