64 citations · 152 across the 4 of their papers we have counts for
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cs.LG2020★ 29 cited
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Ce Ju, Ruihui Zhao, Jichao Sun +11
Prevention of stroke with its associated risk factors has been one of the public health priorities worldwide. Emerging artificial intelligence technology is being increasingly adop…
cs.LG2020★ 58 cited
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective
Yilun Jin, Xiguang Wei, Yang Liu +1
Federated Learning (FL) proposed in recent years has received significant attention from researchers in that it can bring separate data sources together and build machine learning…