Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Naman Goel, , , | Summary: Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL poses challenges in training fair federated learning models. The existing techniques are often limited in […]
Continue.. A Post-Processing-Based Fair Federated Learning Framework