most citedMitigating Group Bias in Federated Learning: Beyond Local Fairness

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Mitigating Group Bias in Federated Learning: Beyond Local Fairness

Ganghua Wang, Ali Payani, Myungjin Lee +1

The issue of group fairness in machine learning models, where certain sub-populations or groups are favored over others, has been recognized for some time. While many mitigation st…

cs.LG2023

Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization

Gen Li, Ganghua Wang, Jie Ding

LASSO regularization is a popular regression tool to enhance the prediction accuracy of statistical models by performing variable selection through the penalty, initially…