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Federated Learning for Internet of Things: A Comprehensive Survey


Apr 16, 2021
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

* Accepted at the IEEE Communications Surveys & Tutorials, 37 pages 

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Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges


Apr 05, 2021
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

* Accepted at the IEEE Internet of Things Journal, 19 pages 

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A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain


Mar 30, 2021
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

* Accepted in the IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021) 

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Realistic Differentially-Private Transmission Power Flow Data Release


Mar 25, 2021
David Smith, Frederik Geth, Elliott Vercoe, Andrew Feutrill, Ming Ding, Jonathan Chan, James Foster, Thierry Rakotoarivelo


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GPT Understands, Too


Mar 18, 2021
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang


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All NLP Tasks Are Generation Tasks: A General Pretraining Framework


Mar 18, 2021
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

* 14 pages, 3 figures 

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A Cooperative Architecture of Data Offloading and Sharing for Blockchain-based Healthcare Systems


Mar 18, 2021
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne

* Accepted in the IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC 2021) 

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DP-Image: Differential Privacy for Image Data in Feature Space


Mar 12, 2021
Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou


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IdentityDP: Differential Private Identification Protection for Face Images


Mar 02, 2021
Yunqian Wen, Li Song, Bo Liu, Ming Ding, Rong Xie


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M6: A Chinese Multimodal Pretrainer


Mar 02, 2021
Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

* 12 pages, technical report 

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Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization


Jan 28, 2021
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor


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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation


Jan 18, 2021
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor


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Toward an Affective Touch Robot: Subjective and Physiological Evaluation of Gentle Stroke Motion Using a Human-Imitation Hand


Dec 09, 2020
Tomoki Ishikura, Akishige Yuguchi, Yuki Kitamura, Sung-Gwi Cho, Ming Ding, Jun Takamatsu, Wataru Sato, Sakiko Yoshikawa, Tsukasa Ogasawara

* 8 pages, 10 figures 

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Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients


Dec 02, 2020
Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor


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When Machine Learning Meets Privacy: A Survey and Outlook


Nov 24, 2020
Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin

* This work is accepted by ACM Computing Surveys 

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Control of Walking Assist Exoskeleton with Time-delay Based on the Prediction of Plantar Force


Jul 17, 2020
Ming Ding, Mikihisa Nagashima, Sung-Gwi Cho, Jun Takamatsu, Tsukasa Ogasawara


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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network


Jul 04, 2020
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor


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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training


Jul 02, 2020
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang

* 11 pages, 5 figures, to appear in KDD 2020 proceedings 

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Understanding Negative Sampling in Graph Representation Learning


May 20, 2020
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

* KDD 2020 

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Performance Analysis and Optimization in Privacy-Preserving Federated Learning


Feb 29, 2020
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor


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Federated Learning with Differential Privacy: Algorithms and Performance Analysis


Nov 08, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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Performance Analysis on Federated Learning with Differential Privacy


Nov 01, 2019
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farokhi Farhad, Shi Jin, Tony Q. S. Quek, H. Vincent Poor


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Towards Knowledge-Based Recommender Dialog System


Sep 03, 2019
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

* To appear in EMNLP 2019 

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Cognitive Knowledge Graph Reasoning for One-shot Relational Learning


Jun 13, 2019
Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang


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Cognitive Graph for Multi-Hop Reading Comprehension at Scale


Jun 04, 2019
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

* ACL 2019 

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Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets


Feb 24, 2019
Sina Shaham, Ming Ding, Bo Liu, Zihuai Lin, Jun Li


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