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Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning

Aug 14, 2020
Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang


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Training Faster with Compressed Gradient

Aug 13, 2020
An Xu, Zhouyuan Huo, Heng Huang


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Exploit Where Optimizer Explores via Residuals

Apr 11, 2020
An Xu, Zhouyuan Huo, Heng Huang


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Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training

Feb 25, 2020
An Xu, Zhouyuan Huo, Heng Huang


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Faster On-Device Training Using New Federated Momentum Algorithm

Feb 06, 2020
Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin. Heng Huang


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Large Batch Training Does Not Need Warmup

Feb 04, 2020
Zhouyuan Huo, Bin Gu, Heng Huang


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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining

Oct 09, 2019
Zhouyuan Huo, Heng Huang


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Diversely Stale Parameters for Efficient Training of CNNs

Sep 24, 2019
An Xu, Zhouyuan Huo, Heng Huang

* Layer-wise Staleness, Parallel Training, Convolutional Neural Networks 

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Ouroboros: On Accelerating Training of Transformer-Based Language Models

Sep 14, 2019
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin

* To appear in the proceedings of Neural Information Processing Systems Conference (2019) 

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Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization

Feb 16, 2019
Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

* AAAI-2019, 22 pages 

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Ego-Downward and Ambient Video based Person Location Association

Dec 02, 2018
Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo


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Training Neural Networks Using Features Replay

Oct 27, 2018
Zhouyuan Huo, Bin Gu, Heng Huang

* NIPS 2018 Spotlight 

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Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization

Sep 08, 2018
Bin Gu, De Wang, Zhouyuan Huo, Heng Huang

* AAAI 2018 

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Decoupled Parallel Backpropagation with Convergence Guarantee

Jul 21, 2018
Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang

* ICML 2018 

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Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization

Dec 29, 2017
Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang

* AAAI 2018 

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Distributed Asynchronous Dual Free Stochastic Dual Coordinate Ascent

Oct 27, 2017
Zhouyuan Huo, Heng Huang


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Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization

Dec 20, 2016
Zhouyuan Huo, Heng Huang

* V1,v2,v3 have been withdrawn due to reference issue, because arXiv policy, we can't delete them. Please refer the newest version v4 

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Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction

Dec 05, 2016
Bin Gu, Zhouyuan Huo, Heng Huang


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Asynchronous Stochastic Block Coordinate Descent with Variance Reduction

Nov 14, 2016
Bin Gu, Zhouyuan Huo, Heng Huang


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Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction

Sep 29, 2016
Zhouyuan Huo, Bin Gu, Heng Huang


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