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Yongheng Deng
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Publications
- 2024
- [j7]Yongheng Deng, Feng Lyu
, Tengxi Xia, Yuezhi Zhou
, Yaoxue Zhang, Ju Ren
, Yuanyuan Yang
:
A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge. IEEE/ACM Trans. Netw. 32(3): 2600-2615 (2024) - 2023
- [c9]Tong Liu, Feng Lyu, Jun Ma, Yongheng Deng, Jiayin Chen, Qilong Tan, Yaoxue Zhang:
LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning. GLOBECOM 2023: 1217-1222 - [c8]Feng Lyu, Cheng Tang, Yongheng Deng, Tong Liu, Yongmin Zhang, Yaoxue Zhang:
A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning. ICDCS 2023: 1-11 - [c7]Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang:
A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. INFOCOM 2023: 1-10 - 2022
- [j6]Yongheng Deng, Shuang Gu, Chengbo Jiao, Xing Bao, Feng Lyu
:
Making resource adaptive to federated learning with COTS mobile devices. Peer-to-Peer Netw. Appl. 15(2): 1214-1231 (2022) - [j5]Yongheng Deng
, Feng Lyu
, Ju Ren
, Huaqing Wu
, Yuezhi Zhou
, Yaoxue Zhang, Xuemin Shen
:
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning. IEEE Trans. Parallel Distributed Syst. 33(8): 1996-2009 (2022) - [j4]Yongheng Deng
, Feng Lyu
, Ju Ren
, Yi-Chao Chen, Peng Yang
, Yuezhi Zhou
, Yaoxue Zhang:
Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation. IEEE Trans. Parallel Distributed Syst. 33(10): 4515-4529 (2022) - [c4]Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang:
TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. SenSys 2022: 592-606 - 2021
- [c3]Yongheng Deng, Feng Lyu, Ju Ren, Yongmin Zhang, Yuezhi Zhou, Yaoxue Zhang, Yuanyuan Yang:
SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning. ICDCS 2021: 24-34 - [c2]Yongheng Deng, Feng Lyu, Ju Ren, Yi-Chao Chen, Peng Yang, Yuezhi Zhou, Yaoxue Zhang:
FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation. INFOCOM 2021: 1-10

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