Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data

Shaoming Duan, Chuanyi Liu, Peiyi Han +3

Non-independent and identically distributed (non-IID) data is a key challenge in federated learning (FL), which usually hampers the optimization convergence and the performance of…