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An Xu
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Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation


Mar 18, 2022
An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

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Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation


Mar 12, 2022
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth

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Double Momentum SGD for Federated Learning


Feb 08, 2021
An Xu, Heng Huang

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Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning


Aug 14, 2020
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang

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Training Faster with Compressed Gradient


Aug 13, 2020
An Xu, Zhouyuan Huo, Heng Huang

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Exploit Where Optimizer Explores via Residuals


Apr 11, 2020
An Xu, Zhouyuan Huo, Heng Huang

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Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training


Feb 25, 2020
An Xu, Zhouyuan Huo, Heng Huang

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Diversely Stale Parameters for Efficient Training of CNNs


Sep 24, 2019
An Xu, Zhouyuan Huo, Heng Huang

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* Layer-wise Staleness, Parallel Training, Convolutional Neural Networks 
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