activity
20232026
most citedFairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction

4 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing cs.CYShow all

1 paper · 1 filter

cs.CY2024★ 4 cited

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction

Siqi Li, Qiming Wu, Xin Li +10

Objective: Mitigating algorithmic disparities is a critical challenge in healthcare research, where ensuring equity and fairness is paramount. While large-scale healthcare data exi…