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An Xu
Publications
- 2022
- [j6]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6103-6115 (2022) - [c17]An Xu, Heng Huang:
Coordinating Momenta for Cross-Silo Federated Learning. AAAI 2022: 8735-8743 - [c16]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR 2022: 20834-20843 - [c15]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) 2022: 437-455 - [c14]An Xu, Heng Huang:
Detached Error Feedback for Distributed SGD with Random Sparsification. ICML 2022: 24550-24575 - [i9]Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth:
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR abs/2203.06338 (2022) - [i8]An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu:
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR abs/2203.10144 (2022) - 2021
- [c11]Hongchang Gao, An Xu, Heng Huang:
On the Convergence of Communication-Efficient Local SGD for Federated Learning. AAAI 2021: 7510-7518 - [c10]An Xu, Zhouyuan Huo, Heng Huang:
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. AAAI 2021: 10478-10486 - [i7]An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. CoRR abs/2102.03970 (2021) - 2020
- [c9]An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. CVPR 2020: 2085-2094 - [i6]An Xu, Zhouyuan Huo, Heng Huang:
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training. CoRR abs/2002.11082 (2020) - [i5]An Xu, Zhouyuan Huo, Heng Huang:
Exploit Where Optimizer Explores via Residuals. CoRR abs/2004.05298 (2020) - [i4]An Xu, Zhouyuan Huo, Heng Huang:
Training Faster with Compressed Gradient. CoRR abs/2008.05823 (2020) - [i3]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - 2019
- [i2]An Xu, Zhouyuan Huo, Heng Huang:
Diversely Stale Parameters for Efficient Training of CNNs. CoRR abs/1909.02625 (2019)
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