Achieving Fairness Across Local and Global Models in Federated Learning

Disha Makhija, Xing Han, Joydeep Ghosh +1

Achieving fairness across diverse clients in Federated Learning (FL) remains a significant challenge due to the heterogeneity of the data and the inaccessibility of sensitive attri…