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Jinglong Shen
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2020 – today
- 2026
[j2]Jinglong Shen
, Nan Cheng
, Wenchao Xu
, Haozhao Wang
, Wei Quan
, Xuemin Shen
:
pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning. IEEE Trans. Cogn. Commun. Netw. 12: 412-426 (2026)- 2025
[i3]Jialin Wan, Nan Cheng, Jinglong Shen:
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction. CoRR abs/2503.23866 (2025)- 2024
[j1]Jinglong Shen
, Nan Cheng
, Xiucheng Wang
, Feng Lyu
, Wenchao Xu
, Zhi Liu
, Khalid Aldubaikhy
, Xuemin Shen
:
RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 5462-5478 (2024)
[c5]Xinyang Zhou, Nan Cheng, Jinglong Shen, Jingchao He, Ruijin Sun, Chenxi Li:
FedSW: A Sliding Window-Based Approach for Asynchronous Federated Learning in WiFi Networks. GLOBECOM 2024: 800-805- 2023
[c4]Jinglong Shen, Xiucheng Wang, Nan Cheng, Longfei Ma, Conghao Zhou, Yuan Zhang:
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach. GLOBECOM 2023: 5847-5852
[c3]Yunhao Quan, Nan Cheng, Xiucheng Wang, Jinglong Shen, Longfei Ma, Zhisheng Yin:
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication. ICCC 2023: 1-6
[c2]Jinglong Shen, Nan Cheng, Zhisheng Yin, Yuchuan Fu, Wenchao Xu, Song Guo:
RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients. ICCC 2023: 1
[i2]Yunhao Quan, Nan Cheng, Xiucheng Wang, Jinglong Shen, Longfei Ma, Zhisheng Yin:
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication. CoRR abs/2307.02002 (2023)
[i1]Jinglong Shen, Xiucheng Wang, Nan Cheng, Longfei Ma, Conghao Zhou, Yuan Zhang:
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach. CoRR abs/2308.13849 (2023)- 2021
[c1]Jinglong Shen, Nan Cheng, Zhisheng Yin
, Wenchao Xu:
Joint Resource Allocation and User Scheduling Scheme for Federated Learning. VTC Fall 2021: 1-5
Coauthor Index

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last updated on 2026-01-16 01:25 CET by the dblp team
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