most citedFeature-context driven Federated Meta-Learning for Rare Disease Prediction

3 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 3 cited

Feature-context driven Federated Meta-Learning for Rare Disease Prediction

Bingyang Chen, Tao Chen, Xingjie Zeng +5

Millions of patients suffer from rare diseases around the world. However, the samples of rare diseases are much smaller than those of common diseases. In addition, due to the sensi…

cs.LG2021★ 3 cited

Federated Learning for Cross-block Oil-water Layer Identification

Bingyang Chena, Xingjie Zenga, Weishan Zhang

Cross-block oil-water layer(OWL) identification is essential for petroleum development. Traditional methods are greatly affected by subjective factors due to depending mainly on th…