Xu, An

8 publications

ECML-PKDD 2023 Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks An Xu, Yang Bai

ECML-PKDD 2023 Distributed Adaptive Optimization with Divisible Communication An Xu, Yang Bai

ECCV 2022 Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation 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

CVPR 2022 Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger R. Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

AAAI 2022 Coordinating Momenta for Cross-Silo Federated Learning An Xu, Heng Huang

ICML 2022 Detached Error Feedback for Distributed SGD with Random Sparsification An Xu, Heng Huang

AAAI 2021 On the Convergence of Communication-Efficient Local SGD for Federated Learning Hongchang Gao, An Xu, Heng Huang

AAAI 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient An Xu, Zhouyuan Huo, Heng Huang