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2020 – today
- 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)- [c11]Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren:
Federated Offline Policy Optimization with Dual Regularization. INFOCOM 2024: 811-820 - [c10]Yongheng Deng, Guanbo Wang, Sheng Yue, Wei Rao, Qin Zu, Wenjie Wang, Shuai Chen, Ju Ren, Yaoxue Zhang:
RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning. IPSN 2024: 188-199 - [i2]Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren:
Federated Offline Policy Optimization with Dual Regularization. CoRR abs/2405.17474 (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 - [c6]Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang:
FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. SenSys 2023: 56-69 - [i1]Yongheng Deng, Ziqing Qiao, Ju Ren, Yang Liu, Yaoxue Zhang:
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer. CoRR abs/2312.05842 (2023) - 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) - [c5]Tengxi Xia, Yongheng Deng, Sheng Yue, Junyi He, Ju Ren, Yaoxue Zhang:
HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization. CNSM 2022: 1-9 - [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
- [j3]Sumit Agarwal, Swee Hoon Ang, Yongheng Deng, Yonglin Wang:
Mortgage Brokers and the Effectiveness of Regulatory Oversights. Manag. Sci. 67(8): 5278-5300 (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
2010 – 2019
- 2019
- [j2]Chao Wu, Yaoxue Zhang, Yongheng Deng:
Toward Fast and Distributed Computation Migration System for Edge Computing in IoT. IEEE Internet Things J. 6(6): 10041-10052 (2019) - [j1]Jiangzhou Deng, Yong Wang, Junpeng Guo, Yongheng Deng, Jerry Gao, Younghee Park:
A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data. J. Inf. Sci. 45(5) (2019) - 2018
- [c1]Yongheng Deng, Qing Xie, Yong Wang:
Research on investor sentiment and stock market prediction based on Weibo text. SPAC 2018: 1-5
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