Ming Ding

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 304

Top Venues

CoRR

IEEE Trans. Veh. Technol.

GLOBECOM

ICC

Publications

Boyang Guo, Youjia Chen, Peng Cheng, Ming Ding, Jinsong Hu, Lajos Hanzo
Pareto-Optimal Multiagent Cooperative Caching Relying on Multipolicy Reinforcement Learning. IEEE Internet Things J. 11 (5) (2024)
Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. IEEE Trans. Instrum. Meas. 73 (2024)
Yuchuan Ye, Youjia Chen, Junnan Yang, Ming Ding, Peng Cheng, Jinsong Hu, Haifeng Zheng
Wireless Hierarchical Federated Aggregation Weights Design with Loss-Based-Heterogeneity. INFOCOM (Workshops) (2024)
Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, David Smith, Wenjie Zhang, Thierry Rakotoarivelo
Decentralized Privacy Preservation for Critical Connections in Graphs. CoRR (2024)
Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers. USENIX Security Symposium (2024)
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR (2024)
Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). ICDE (2024)
Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Yasas Supeksala, Dinh C. Nguyen, Ming Ding, Thilina Ranbaduge, Calson Chua, Jun Zhang, Jun Li, H. Vincent Poor
Private Knowledge Sharing in Distributed Learning: A Survey. CoRR (2024)
Xusheng Zhu, Wen Chen, Qingqing Wu, Zhendong Li, Jun Li, Shunqing Zhang, Ming Ding
Reconfigurable-Intelligent-Surface-Aided Space-Shift Keying With Imperfect CSI. IEEE Internet Things J. 11 (7) (2024)
Xuefeng Han, Wen Chen, Jun Li, Ming Ding, Qingqing Wu, Kang Wei, Xiumei Deng, Zhen Mei
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization. CoRR (2024)
Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization. CoRR (2024)
Liwei Wang, Jun Li, Wen Chen, Qingqing Wu, Ming Ding
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning. CoRR (2024)
Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith
Learn to Unlearn: Insights Into Machine Unlearning. Computer 57 (3) (2024)
Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato
The Frontier of Data Erasure: Machine Unlearning for Large Language Models. CoRR (2024)
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang
IoTFuzz: Automated Discovery of Violations in Smart Homes With Real Environment. IEEE Internet Things J. 11 (6) (2024)
Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. CoRR (2024)
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance. BMSB (2024)
Xiumei Deng, Jun Li, Long Shi, Kang Wei, Ming Ding, Yumeng Shao, Wen Chen, Shi Jin
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks. CoRR (2024)
Yue Cai, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing. IEEE Trans. Mob. Comput. 23 (6) (2024)
Mengmeng Yang, Ming Ding, Youyang Qu, Wei Ni, David B. Smith, Thierry Rakotoarivelo
Privacy at a Price: Exploring its Dual Impact on AI Fairness. CoRR (2024)
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang
Memorization in deep learning: A survey. CoRR (2024)
Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor
Analysis and Optimization of Wireless Federated Learning With Data Heterogeneity. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. IEEE Trans. Dependable Secur. Comput. 21 (3) (2024)
Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection. CoRR (2024)
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou
Proactive image manipulation detection via deep semi-fragile watermark. Neurocomputing 585 (2024)
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
PPFed: A Privacy-Preserving and Personalized Federated Learning Framework. IEEE Internet Things J. 11 (11) (2024)
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu
Gradient sparsification for efficient wireless federated learning with differential privacy. Sci. China Inf. Sci. 67 (4) (2024)
Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wen Chen, Zhu Han
Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends. CoRR (2024)
Songjie Xie, Youlong Wu, Jiaxuan Li, Ming Ding, Khaled B. Letaief
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy. CoRR (2024)
Yuwen Qian, Guodong Huang, Chuan Ma, Ming Ding, Long Yuan, Zi Chen, Kai Wang
Enhancing Resilience in Website Fingerprinting: Novel Adversary Strategies for Noisy Traffic Environments. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Mahbub Hassan, Mérouane Debbah, Zhizhang (David) Chen
Downlink Performance Analysis of Intelligent Reflecting Surface-Enabled Networks. IEEE Trans. Veh. Technol. 72 (2) (2023)
Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. CoRR (2023)
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
FD-MIA: Efficient Attacks on Fairness-enhanced Models. CoRR (2023)
Shiying Zhang, Jun Li, Long Shi, Ming Ding, Dinh C. Nguyen, Wuzheng Tan, Jian Weng, Zhu Han
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems. CoRR (2023)
Songjie Xie, Shuai Ma, Ming Ding, Yuanming Shi, MingJian Tang, Youlong Wu
Robust Information Bottleneck for Task-Oriented Communication With Digital Modulation. IEEE J. Sel. Areas Commun. 41 (8) (2023)
Ziyan Yin, Zhe Wang, Jun Li, Ming Ding, Wen Chen, Shi Jin
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
Federated Learning for Smart Healthcare: A Survey. ACM Comput. Surv. 55 (3) (2023)
Xusheng Zhu, Wen Chen, Qingqing Wu, Zhendong Li, Jun Li, Shunqing Zhang, Ming Ding
Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI. CoRR (2023)
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen
Low-Latency Federated Learning With DNN Partition in Distributed Industrial IoT Networks. IEEE J. Sel. Areas Commun. 41 (3) (2023)
Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne
Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. BigData (2023)
Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu
Face image de-identification by feature space adversarial perturbation. Concurr. Comput. Pract. Exp. 35 (5) (2023)
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Wen Chen, Jun Wu, Meixia Tao, H. Vincent Poor
Personalized Federated Learning With Differential Privacy and Convergence Guarantee. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Chuan Ma, Jun Li, Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning. Proc. IEEE 111 (9) (2023)
Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing. CoRR (2023)
Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo
Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding. IEEE Trans. Instrum. Meas. 72 (2023)
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu
Net: Temporal Identity Inconsistency Network for Deepfake Detection. WACV (2023)
Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith
Learn to Unlearn: A Survey on Machine Unlearning. CoRR (2023)
Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning. ICCC (2023)
Kai Liang, Songze Li, Ming Ding, Youlong Wu
Multi-Server Secure Aggregation with Unreliable Communication Links. GLOBECOM (2023)
Xuefeng Han, Jun Li, Wen Chen, Zhen Mei, Kang Wei, Ming Ding, H. Vincent Poor
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity. CoRR (2023)
Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, Song Guo
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding. CoRR (2023)
Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu
Proactive Deepfake Defence via Identity Watermarking. WACV (2023)
Kai Liang, Songze Li, Ming Ding, Youlong Wu
Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR (2023)
Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning. CoRR (2023)
Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu
Sparse Federated Training of Object Detection in the Internet of Vehicles. ICC (2023)
Su Yen Chia, Xiwei Xu, Ming Ding, David B. Smith, Hye-Young Paik, Liming Zhu
A Selection Model of Privacy Patterns. ICSA (2023)
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22 (4) (2023)
Zhengrong Song, Chuan Ma, Ming Ding, Howard H. Yang, Yuwen Qian, Xiangwei Zhou
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing. ICCC (2023)
Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H. Vincent Poor
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Dong Ma, Ting Dang, Ming Ding, Rajesh Balan
ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (4) (2023)
Xiumei Deng, Jun Li, Chuan Ma, Kang Wei, Long Shi, Ming Ding, Wen Chen, H. Vincent Poor
Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling. IEEE Trans. Wirel. Commun. 22 (5) (2023)
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Youjia Chen, Baoxian Zhang, Jinsong Hu, David López-Pérez, Ming Ding
Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks. IEEE Commun. Lett. 27 (10) (2023)
Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, Jun Zhang
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives. IEEE Commun. Surv. Tutorials 25 (3) (2023)
Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding
Universal optimality and robust utility bounds for metric differential privacy. J. Comput. Secur. 31 (5) (2023)
Luping Rao, Chuan Ma, Ming Ding, Yuwen Qian, Lu Zhou, Zhe Liu
Sparse Federated Training of Object Detection in the Internet of Vehicles. CoRR (2023)
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor
RDP-GAN: A Rényi-Differential Privacy Based Generative Adversarial Network. IEEE Trans. Dependable Secur. Comput. 20 (6) (2023)
Peng Cheng, Youjia Chen, Ming Ding, Zhuo Chen, Sige Liu, Yi-Ping Phoebe Chen
Deep Reinforcement Learning for Online Resource Allocation in IoT Networks: Technology, Development, and Future Challenges. IEEE Commun. Mag. 61 (6) (2023)
Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zhang, Yuwen Qian, Wen Chen
Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling. IEEE Trans. Cogn. Commun. Netw. 8 (4) (2022)
Jichao Leng, Zihuai Lin, Ming Ding, Peng Wang, David B. Smith, Branka Vucetic
Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities. IEEE Wirel. Commun. Lett. 11 (4) (2022)
Nardine Basta, Ming Ding, Muhammad Ikram, Mohamed Ali Kâafar
5G-Enabled Pseudonymity for Cooperative Intelligent Transportation System. CoRR (2022)
Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan
Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search. CoRR (2022)
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Sha Wei, Fan Wu, Guihai Chen, Thilina Ranbaduge
Vertical Federated Learning: Challenges, Methodologies and Experiments. CoRR (2022)
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
Private-encoder: Enforcing privacy in latent space for human face images. Concurr. Comput. Pract. Exp. 34 (3) (2022)
Thilina Ranbaduge, Ming Ding
Differentially Private Vertical Federated Learning. CoRR (2022)
Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya
Intelligent Blockchain-Based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. IEEE Netw. 36 (6) (2022)
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Albert Y. Zomaya
Federated Learning for COVID-19 Detection With Generative Adversarial Networks in Edge Cloud Computing. IEEE Internet Things J. 9 (12) (2022)
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. IEEE J. Sel. Areas Commun. 40 (1) (2022)
Youjia Chen, Ming Ding, David López-Pérez, Xuefeng Yao, Zihuai Lin, Guoqiang Mao
On the Theoretical Analysis of Network-Wide Massive MIMO Performance and Pilot Contamination. IEEE Trans. Wirel. Commun. 21 (2) (2022)
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Chuan Ma, Jun Li. Kang Wei, Bo Liu, Ming Ding, Long Yuan, Zhu Han, H. Vincent Poor
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning. CoRR (2022)
Thilina Ranbaduge, Dinusha Vatsalan, Ming Ding
Privacy-preserving Deep Learning based Record Linkage. CoRR (2022)
Chuan Ma, Jun Li, Long Shi, Ming Ding, Taotao Wang, Zhu Han, H. Vincent Poor
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm. IEEE Comput. Intell. Mag. 17 (3) (2022)
Yuwen Qian, Kexin Sheng, Chuan Ma, Jun Li, Ming Ding, Mahbub Hassan
Path Planning for the Dynamic UAV-Aided Wireless Systems Using Monte Carlo Tree Search. IEEE Trans. Veh. Technol. 71 (6) (2022)
Songjie Xie, Youlong Wu, Shuai Ma, Ming Ding, Yuanming Shi, Mingjian Tang
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation. CoRR (2022)
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang
A Survey on IoT Vulnerability Discovery. NSS (2022)
Youjia Chen, Tiesong Zhao, Peng Cheng, Ming Ding, Chang Wen Chen
Joint Front-Edge-Cloud IoVT Analytics: Resource-Effective Design and Scheduling. IEEE Internet Things J. 9 (23) (2022)
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia A. Dobre, H. Vincent Poor
6G Internet of Things: A Comprehensive Survey. IEEE Internet Things J. 9 (1) (2022)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization. IEEE Trans. Mob. Comput. 21 (9) (2022)
Dinh C. Nguyen, Van-Dinh Nguyen, Ming Ding, Symeon Chatzinotas, Pubudu N. Pathirana, Aruna Seneviratne, Octavia A. Dobre, Albert Y. Zomaya
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges. CoRR (2022)
Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor
Low-Latency Federated Learning over Wireless Channels with Differential Privacy. CoRR (2021)
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne
A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain. IEEE ICBC (2021)
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey. IEEE Access 9 (2021)
Youjia Chen, Baoxian Zhang, Ming Ding, David López-Pérez, Haifeng Zheng
Performance Analysis of Wireless Networks with Intelligent Reflecting Surfaces. WCNC (2021)
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
Federated Learning for Smart Healthcare: A Survey. CoRR (2021)
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. CoRR (2021)
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. CoRR (2021)
Yongjie Zhan, Le Li, Yuwen Qian, Chuan Ma, Ming Ding, Bo Liu
A Hybrid Spatiotemporal Attack in Continuous LBS Queries. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming Ding