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Huang, J. (author), Hong, C. (author), Liu, Yang (author), Chen, Lydia Y. (author), Roos, S. (author)
Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogeneous clients, it is imperative to timely select clients who can effectively contribute to learning. A realistic but overlooked case of...
conference paper 2023
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Chen, Yangkang (author), Huang, Weilin (author), Zhou, Yatong (author), Liu, Wei (author), Zhang, D. (author)
The journal is publishing this Expression of Concern to alert readers while we investigate to determine whether further action is required.
journal article 2021
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Luan, Pengqian (author), Liu, Yunting (author), Li, Yongxing (author), Chen, Ran (author), Huang, Chen (author), Gao, Jing (author), Hollmann, F. (author), Jiang, Yanjun (author)
An aqueous chemoenzymatic cascade reaction combining Pd-catalyzed C-C formation and enzymatic C=C asymmetric hydrogenation (AH) was developed for enantioselective synthesis of tertiary α-aryl cycloketones in good yields and excellent enantioselectivities. The stereopreference of the enzyme in AH of α-aryl cyclohexenones was studied. An...
journal article 2021
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Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)
Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...
journal article 2021
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