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Qing Ling

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On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning

Aug 28, 2023
Haoxiang Ye, Heng Zhu, Qing Ling

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Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error

Aug 10, 2023
Jie Peng, Weiyu Li, Qing Ling

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Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment

Jul 16, 2023
Xingrong Dong, Zhaoxian Wu, Qing Ling, Zhi Tian

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SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Apr 08, 2023
Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng

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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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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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Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation

Apr 29, 2022
Heng Zhu, Qing Ling

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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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