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Journal Articles
- 2023
[j4]Bing Luo, Pengchao Han, Peng Sun, Xiaomin Ouyang, Jianwei Huang, Ningning Ding:
Optimization Design for Federated Learning in Heterogeneous 6G Networks. IEEE Netw. 37(2): 38-43 (2023)- [j3]Ningning Ding
, Lin Gao, Jianwei Huang:
Optimal Pricing Design for Coordinated and Uncoordinated IoT Networks. IEEE Trans. Mob. Comput. 22(12): 7121-7137 (2023) - 2021
- [j2]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. IEEE J. Sel. Areas Commun. 39(1): 186-200 (2021) - [j1]Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Optimal Incentive and Load Design for Distributed Coded Machine Learning. IEEE J. Sel. Areas Commun. 39(7): 2090-2104 (2021)
Conference and Workshop Papers
- 2024
- [c8]Ningning Ding, Ermin Wei, Randall Berry:
Strategic Data Revocation in Federated Unlearning. INFOCOM 2024: 1151-1160 - [c7]Jin Cheng, Ningning Ding, John C. S. Lui, Jianwei Huang:
Continuous Query-based Data Trading. SIGMETRICS/Performance (Abstracts) 2024: 73-74 - 2023
- [c6]Ningning Ding, Lin Gao, Jianwei Huang:
Joint Participation Incentive and Network Pricing Design for Federated Learning. INFOCOM 2023: 1-10 - [c5]Ningning Ding, Zhenyu Sun, Ermin Wei, Randall Berry:
Incentive Mechanism Design for Federated Learning and Unlearning. MobiHoc 2023: 11-20 - 2022
- [c4]Ningning Ding, Lin Gao, Jianwei Huang, Xin Li, Xin Chen:
Optimal Pricing Under Vertical and Horizontal Interaction Structures for IoT Networks. INFOCOM 2022: 870-879 - 2021
- [c3]Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Incentive Mechanism Design for Distributed Coded Machine Learning. INFOCOM 2021: 1-10 - 2020
- [c2]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Information Disclosure Game on Sharing Platforms. GLOBECOM 2020: 1-6 - [c1]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information. WiOpt 2020: 33-40
Informal and Other Publications
- 2023
- [i8]Ningning Ding:
An Efficient Convex Hull-Based Vehicle Pose Estimation Method for 3D LiDAR. CoRR abs/2302.01034 (2023) - [i7]Bing Luo, Xiaomin Ouyang, Peng Sun, Pengchao Han, Ningning Ding, Jianwei Huang:
Optimization Design for Federated Learning in Heterogeneous 6G Networks. CoRR abs/2303.08322 (2023) - [i6]Ningning Ding, Zhenyu Sun, Ermin Wei, Randall Berry:
Incentive Mechanism Design for Federated Learning and Unlearning. CoRR abs/2308.12502 (2023) - [i5]Ningning Ding, Zhixuan Fang, Jianwei Huang:
Information Disclosure under Competition in Sharing Systems. CoRR abs/2308.16320 (2023) - [i4]Ningning Ding, Lin Gao, Jianwei Huang:
Joint Participation Incentive and Network Pricing Design for Federated Learning. CoRR abs/2309.16712 (2023) - [i3]Ningning Ding, Ermin Wei, Randall Berry:
Strategic Data Revocation in Federated Unlearning. CoRR abs/2312.01235 (2023) - 2022
- [i2]Ningning Ding:
Eigenvalue Mapping-based Semi-implicit Discretization of the Generalized Super-Twisting Algorithm. CoRR abs/2209.03825 (2022) - 2020
- [i1]Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Incentive Mechanism Design for Distributed Coded Machine Learning. CoRR abs/2012.08715 (2020)
Coauthor Index
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