28 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.CE2022★ 4 cited
Revisiting Digital Twins: Origins, Fundamentals and Practices
Jiehan Zhou, Shouhua Zhang, Mu Gu
The Digital Twins (DT) has quickly become a hot topic since it was proposed. It not only appears in all kinds of commercial propaganda, but also is widely quoted by academic circle…
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.DC2021★ 28 cited
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou, Shouhua Zhang, Qinghua Lu +7
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level. F…