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2020 – today
- 2025
[j5]Jingyi Li
, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen:
Sequential Privacy Budget Recycling for Federated Vector Mean Estimation: A Game-Theoretic Approach. IEEE Trans. Mob. Comput. 24(3): 1308-1321 (2025)- [j4]Guangjing Huang, Xu Chen, Qiong Wu, Jingyi Li, Qianyi Huang:
Joint Client and Cross-Client Edge Selection for Cost-Efficient Federated Learning of Graph Convolutional Networks. IEEE Trans. Netw. 33(1): 286-298 (2025) - 2024
- [j3]Guangjing Huang, Qiong Wu, Jingyi Li, Xu Chen:
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content. IEEE Trans. Mob. Comput. 23(12): 12603-12620 (2024) - [j2]Guangjing Huang, Qiong Wu, Peng Sun, Qian Ma, Xu Chen:
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis. IEEE Trans. Parallel Distributed Syst. 35(3): 455-469 (2024) - [i2]Guangjing Huang, Qiong Wu, Jingyi Li, Xu Chen:
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content. CoRR abs/2406.08526 (2024) - 2023
- [j1]Guangjing Huang, Xu Chen, Tao Ouyang, Qian Ma, Lin Chen, Junshan Zhang:
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective. IEEE Trans. Mob. Comput. 22(11): 6311-6326 (2023) - [c1]Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen:
Chained-DP: Can We Recycle Privacy Budget? IWQoS 2023: 1-4 - 2022
- [i1]Guangjing Huang, Xu Chen, Tao Ouyang, Qian Ma, Lin Chen, Junshan Zhang:
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective. CoRR abs/2207.12030 (2022)
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