13 citations · 32 across the 8 of their papers we have counts for
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cs.LG2021★ 4 cited
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
Yuhao Chen, Qianqian Yang, Shibo He +2
With the increased penetration and proliferation of Internet of Things (IoT) devices, there is a growing trend towards distributing the power of deep learning (DL) across edge devi…
cs.LG2021★ 1 cited
Fairness-aware Outlier Ensemble
Haoyu Liu, Fenglong Ma, Shibo He +2
Outlier ensemble methods have shown outstanding performance on the discovery of instances that are significantly different from the majority of the data. However, without the aware…
cs.LG2019
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Xin Wang, Hideaki Ishii, Linkang Du +2
With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks. However, privacy concerns have to be given pr…