FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning

Zhonghua Jiang, Jimin Xu, Shengyu Zhang +5

Federated learning (FL) is a promising technology for data privacy and distributed optimization, but it suffers from data imbalance and heterogeneity among clients. Existing FL met…