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Articles

Synergistic Morphology‐Material Design in a Hierarchical Composite Surface for High‐Efficiency Drag Reduction

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By Xianxian Cui, Xiaolin Liu, Automation Beihang Beijing, Dengke Chen
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description smll72530-sup-0001-SuppMat.docx38.9 MB Supporting File: smll72530-sup-0001-SuppMat.docx.
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RoboFly.D-A Bio‐Inspired Hover‐Capable Flapping Wing Robot

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By Shengjie Xiao, Automation Beihang Beijing, Cao Li, Yuhong SUN
| Wiley Online Library Verified
Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References , , and . 2018. “Longitudinal Flight Dynamic Analysis on Vertical Takeoff of a Tailless Flapping-Wing Micro Air Vehicle.” Journal of Bionic Engineering 15, no. 2: 283–297. , , , , and . 2009. “Aerodynamic Experiments on DelFly II: Unsteady Lift Enhancement.” International Journal of Micro Air Vehicles 1, no. 4: 255–262. , , , and .
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FedNCV: Optimizing Federated Learning With Networked Control Variates

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By Yaling Liu, Xu Yang, Xingyan Chen, Automation Beihang Beijing
| pericles.pericles-prod.literatumonline.com
References 1, , , , , and , “Federated Learning: Strategies for Improving Communication Efficiency,” (2016), arXiv Preprint arXiv:1610.05492. 2, , , et al., “Advances and Open Problems in Federated Learning,” Foundations and Trends in Machine Learning 14, no. 1–2 (2021): 1–210. 3, , , , and , “ Communication-Efficient Learning of Deep Networks From Decentralized Data,” in Artificial intelligence and statistics (PMLR, 2017), 1273–1282.
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