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cs.LG2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
Zirui Wang, Shaoming Duan, Chengyue Wu +4
Swarm learning (SL) is an emerging promising decentralized machine learning paradigm and has achieved high performance in clinical applications. SL solves the problem of a central…
cs.LG2022★ 3 cited
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…