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Zhouyuan Huo
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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
50952021
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
3052021
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
1302021
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
1292021
Decoupled Parallel Backpropagation with Convergence Guarantee
Z Huo, B Gu, Q Yang, H Huang
International Conference on Machine Learning (ICML) 2018, 2018
892018
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
822021
Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization
Z Huo, H Huang
AAAI, 2017
78*2017
Training Neural Networks Using Features Replay
Z Huo, B Gu, H Huang
Advances in Neural Information Processing Systems 2018, 2018
742018
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
661912
Faster on-device training using new federated momentum algorithm
Z Huo, Q Yang, B Gu, LC Huang
arXiv preprint arXiv:2002.02090, 2020
482020
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Z Huo, B Gu, H Huang
AAAI, 2017
482017
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization
B Gu, Z Huo, H Huang
AAAI, 2016
472016
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
43*2018
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
402019
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
382022
Joint Capped Norms Minimization for Robust Matrix Recovery
F Nie, Z Huo, H Huang
Proceedings of International Joint Conference on Artificial Intelligence, 2017
382017
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
352016
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
342020
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
322017
Joist: A joint speech and text streaming model for asr
TN Sainath, R Prabhavalkar, A Bapna, Y Zhang, Z Huo, Z Chen, B Li, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 52-59, 2023
262023
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