Search Results for author: Peiyi Han

Found 2 papers, 1 papers with code

Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning

no code implementations • 2 Dec 2022 • ZiRui Wang, Shaoming Duan, Chengyue Wu, Wenhao Lin, Xinyu Zha, Peiyi Han, Chuanyi Liu

To address this problem, we propose a generative augmentation framework in swarm learning called SL-GAN, which augments the non-IID data by generating the synthetic data from participants.

Data Augmentation Edge-computing +1

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

1 code implementation • 22 Nov 2022 • Shaoming Duan, Chuanyi Liu, Peiyi Han, Tianyu He, Yifeng Xu, Qiyuan Deng

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 FL.

Data Augmentation Federated Learning

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