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Spectral Adversarial Training for Robust Graph Neural Network


Nov 20, 2022
Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling

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* Accepted by TKDE. Code availiable at https://github.com/EdisonLeeeee/SAT 

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Lazy Queries Can Reduce Variance in Zeroth-order Optimization


Jun 14, 2022
Quan Xiao, Qing Ling, Tianyi Chen

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Confederated Learning: Federated Learning with Decentralized Edge Servers


May 30, 2022
Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling

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* 13 pages, 5 figures 

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Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation


Apr 29, 2022
Heng Zhu, Qing Ling

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* IJCAI-ECAI 2022 

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Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning


Jun 13, 2021
Feng Lin, Weiyu Li, Qing Ling

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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

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* To appear at ACL 2020 

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