| Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning B Gu, A Xu, Z Huo, C Deng, H Huang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 187 | 2021 |
| Closing the generalization gap of cross-silo federated medical image segmentation A Xu, W Li, P Guo, D Yang, HR Roth, A Hatamizadeh, C Zhao, D Xu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 78 | 2022 |
| On the convergence of communication-efficient local SGD for federated learning H Gao, A Xu, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7510-7518, 2021 | 64 | 2021 |
| Auto-fedrl: Federated hyperparameter optimization for multi-institutional medical image segmentation P Guo, D Yang, A Hatamizadeh, A Xu, Z Xu, W Li, C Zhao, D Xu, ... European Conference on Computer Vision, 437-455, 2022 | 59 | 2022 |
| On the acceleration of deep learning model parallelism with staleness A Xu, Z Huo, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 43 | 2020 |
| Map-based deep imitation learning for obstacle avoidance Y Liu, A Xu, Z Chen 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 42 | 2018 |
| Coordinating Momenta for Cross-silo Federated Learning A Xu, H Huang | 31* | 2022 |
| A general and efficient querying method for learning to hash J Li, X Yan, J Zhang, A Xu, J Cheng, J Liu, KKW Ng, T Cheng Proceedings of the 2018 International Conference on Management of Data, 1333 …, 2018 | 25 | 2018 |
| Step-ahead error feedback for distributed training with compressed gradient A Xu, Z Huo, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10478 …, 2021 | 23* | 2021 |
| Detached error feedback for distributed SGD with random sparsification A Xu, H Huang International Conference on Machine Learning, 24550-24575, 2022 | 17 | 2022 |
| Tangram: bridging immutable and mutable abstractions for distributed data analytics Y Huang, X Yan, G Jiang, T Jin, J Cheng, A Xu, Z Liu, S Tu 2019 USENIX Annual Technical Conference (USENIX ATC 19), 191-206, 2019 | 16 | 2019 |
| Distributed Adaptive Optimization with Divisible Communication A Xu, Y Bai Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 9* | 2023 |
| MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router Y Xie, Z Zhang, D Zhou, C Xie, Z Song, X Liu, Y Wang, X Lin, A Xu arXiv preprint arXiv:2410.12013, 2024 | 3 | 2024 |
| Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks A Xu, Y Bai Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Elastic local breakout strategy and implementation for delay-sensitive packets with local significance Y Li, Z Jiang, A Xu, S Zhou, Z Niu 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 1 | 2017 |
| Distributed Sign Momentum with Local Steps for Training Transformers S Yu, D Zhou, C Xie, A Xu, Z Zhang, X Liu, S Kar arXiv preprint arXiv:2411.17866, 2024 | | 2024 |
| New Efficient and Privacy-Preserving Methods for Distributed Training A Xu University of Pittsburgh, 2023 | | 2023 |
