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BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning


Apr 14, 2021
Heng Zhu, Qing Ling


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Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data


Sep 17, 2020
Jie Peng, Zhaoxian Wu, Qing Ling


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Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks


May 12, 2020
Jie Peng, Qing Ling


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Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation


May 01, 2020
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song

* To appear at ACL 2020 

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HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing


Mar 22, 2020
Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling

* Submitted for review 

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Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks


Dec 29, 2019
Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis


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Convolutional Neural Networks for Space-Time Block Coding Recognition


Oct 19, 2019
Wenjun Yan, Qing Ling, Limin Zhang

* 4 pages,7figures 

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Communication-Censored Linearized ADMM for Decentralized Consensus Optimization


Sep 15, 2019
Weiyu Li, Yaohua Liu, Zhi Tian, Qing Ling


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Communication-Censored Distributed Stochastic Gradient Descent


Sep 09, 2019
Weiyu Li, Tianyi Chen, Liping Li, Qing Ling


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Asynchronous Stochastic Composition Optimization with Variance Reduction


Nov 15, 2018
Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling

* 30 pages, 19 figures 

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RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets


Nov 09, 2018
Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

* To appear in AAAI 2019 

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DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification


Aug 29, 2018
Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling

* 15 pages, 5 figures 

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An Online Convex Optimization Approach to Dynamic Network Resource Allocation


Jan 27, 2017
Tianyi Chen, Qing Ling, Georgios B. Giannakis


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Stacked Approximated Regression Machine: A Simple Deep Learning Approach


Sep 08, 2016
Zhangyang Wang, Shiyu Chang, Qing Ling, Shuai Huang, Xia Hu, Honghui Shi, Thomas S. Huang

* This manuscript has been withdrawn by the authors. Please see the updated text for details 

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Make Workers Work Harder: Decoupled Asynchronous Proximal Stochastic Gradient Descent


May 21, 2016
Yitan Li, Linli Xu, Xiaowei Zhong, Qing Ling

* 19 pages 

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$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images


Apr 09, 2016
Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang


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Learning A Deep $\ell_\infty$ Encoder for Hashing


Apr 06, 2016
Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

* To be presented at IJCAI'16 

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Learning Deep $\ell_0$ Encoders


Nov 22, 2015
Zhangyang Wang, Qing Ling, Thomas S. Huang

* Full paper at AAAI 2016 

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Decentralized learning for wireless communications and networking


Mar 30, 2015
Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu

* Contributed chapter to appear in Splitting Methods in Communication and Imaging, Science and Engineering, R. Glowinski, S. Osher, and W. Yin, Editors, New York, Springer, 2015 

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