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A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity


Dec 23, 2021
Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu


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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey


Nov 12, 2021
Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

* 20 pages. Under Submission. arXiv admin note: text overlap with arXiv:2103.13630 by other authors 

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Unified Group Fairness on Federated Learning


Nov 09, 2021
Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

* Under Review 

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Ensemble Federated Adversarial Training with Non-IID data


Oct 26, 2021
Shuang Luo, Didi Zhu, Zexi Li, Chao Wu


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Federated Graph Learning -- A Position Paper


May 24, 2021
Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu


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Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent


Apr 15, 2021
Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu

* arXiv admin note: text overlap with arXiv:2010.10996 

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KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation


Dec 08, 2020
Hao-Zhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen

* 12 pages, 5 figures 

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GFL: A Decentralized Federated Learning Framework Based On Blockchain


Nov 09, 2020
Yifan Hu, Wei Xia, Jun Xiao, Chao Wu


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Federated Unsupervised Representation Learning


Oct 18, 2020
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li


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Federated Mutual Learning


Jun 27, 2020
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu


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Evaluation Framework For Large-scale Federated Learning


Mar 12, 2020
Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu


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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach


Feb 06, 2020
Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du

* 7 pages, 7 figures 

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Galaxy Learning -- A Position Paper


Apr 22, 2019
Chao Wu, Jun Xiao, Gang Huang, Fei Wu


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Deep Sequence Learning with Auxiliary Information for Traffic Prediction


Jun 13, 2018
Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu

* KDD 2018. The first two authors share equal contributions 

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Generative Creativity: Adversarial Learning for Bionic Design


May 19, 2018
Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo


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Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security


Nov 20, 2017
Hao Dong, Chao Wu, Zhen Wei, Yike Guo

* IEEE Trans. Information Forensics and Security (TIFS) 

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DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG


Aug 03, 2017
Akara Supratak, Hao Dong, Chao Wu, Yike Guo

* This article has been published in IEEE Transactions on Neural Systems and Rehabilitation Engineering 

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Mixed Neural Network Approach for Temporal Sleep Stage Classification


Aug 03, 2017
Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

* THIS ARTICLE HAS BEEN PUBLISHED IN IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 

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Semantic Image Synthesis via Adversarial Learning


Jul 21, 2017
Hao Dong, Simiao Yu, Chao Wu, Yike Guo

* Accepted to ICCV 2017 

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Unsupervised Image-to-Image Translation with Generative Adversarial Networks


Jan 10, 2017
Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo


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Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge


Sep 21, 2015
Xiaofei Wang, Chao Wu, Pengyuan Zhang, Ziteng Wang, Yong Liu, Xu Li, Qiang Fu, Yonghong Yan

* 5 pages, 1 figure 

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