| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021 | 4344 | 2021 |
| A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 154 | 2021 |
| 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 33 (11), 6103-6115, 2021 | 106 | 2021 |
| Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021 | 105 | 2021 |
| Decoupled Parallel Backpropagation with Convergence Guarantee Z Huo, B Gu, Q Yang, H Huang International Conference on Machine Learning (ICML) 2018, 2018 | 84 | 2018 |
| Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization Z Huo, H Huang AAAI, 2017 | 75* | 2017 |
| Training Neural Networks Using Features Replay Z Huo, B Gu, H Huang Advances in Neural Information Processing Systems 2018, 2018 | 66 | 2018 |
| Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 1912 | 66 | 1912 |
| On large-cohort training for federated learning Z Charles, Z Garrett, Z Huo, S Shmulyian, V Smith Advances in neural information processing systems 34, 20461-20475, 2021 | 63 | 2021 |
| Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization Z Huo, B Gu, H Huang AAAI, 2017 | 46 | 2017 |
| Faster on-device training using new federated momentum algorithm Z Huo, Q Yang, B Gu, LC Huang arXiv preprint arXiv:2002.02090, 2020 | 43 | 2020 |
| Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization B Gu, Z Huo, H Huang AAAI, 2016 | 41 | 2016 |
| Faster derivative-free stochastic algorithm for shared memory machines B Gu, Z Huo, C Deng, H Huang International conference on machine learning, 1812-1821, 2018 | 40* | 2018 |
| Joint Capped Norms Minimization for Robust Matrix Recovery F Nie, Z Huo, H Huang Proceedings of International Joint Conference on Artificial Intelligence, 2017 | 40 | 2017 |
| An end-to-end generative architecture for paraphrase generation Q Yang, Z Huo, D Shen, Y Cheng, W Wang, G Wang, L Carin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 39 | 2019 |
| Robust and effective metric learning using capped trace norm: Metric learning via capped trace norm Z Huo, F Nie, H Huang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 35 | 2016 |
| Large-scale asr domain adaptation using self-and semi-supervised learning D Hwang, A Misra, Z Huo, N Siddhartha, S Garg, D Qiu, KC Sim, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 33 | 2022 |
| Multi-Class Support Vector Machine via Maximizing Multi-Class Margins J Xu, X Liu, Z Huo, C Deng, F Nie, H Huang Proceedings of International Joint Conference on Artificial Intelligence, 2017 | 31 | 2017 |
| 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 | 28 | 2020 |
| Asynchronous Doubly Stochastic Group Regularized Learning B Gu, Z Huo, H Huang International Conference on Artificial Intelligence and Statistics, 1791-1800, 2018 | 26* | 2018 |
Heng HuangBrendan Iribe Endowed Professor in Computer Science, University Maryland College ParkVerified email at umd.edu
