Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions. - Qiang Duan; Shijing Hu; Ruijun Deng; Zhihui Lu 002 (Sensors, 2022)

HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services. - Ruijun Deng; Xin Du 002; Zhihui Lu 002; Qiang Duan; Shih-Chia Huang; Jie Wu 003 (ICWS, 2023)

An Analysis and Comparison of the Development Status of Green Data Centers in China. - Junxiong Lin; Shijing Hu; Zhihui Lu 002; Ruijun Deng (SmartCloud, 2023)

Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions. - Qiang Duan; Jun Huang 002; Shijing Hu; Ruijun Deng; Zhihui Lu 002; Shui Yu 001 (IEEE Commun. Surv. Tutorials, 2023)

CCRisk: Automated Risk Detection on Heterogeneous Consortium Chains for Supply Chain Finance. - Junxiong Lin; Ruijun Deng; Mingyu Gu; Jing Liu; Zhihui Lu 002; Yubing Bao; Sheng Mao; Qiang Duan (ICSS, 2024)

TuneChain: An Online Configuration Auto-Tuning Approach for Permissioned Blockchain Systems. - Junxiong Lin; Ruijun Deng; Zhihui Lu 002; Yiguang Zhang; Qiang Duan (ICWS, 2024)

LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Perception System. - Shijing Hu; Ruijun Deng; Xin Du 002; Zhihui Lu 002; Qiang Duan; Yi He; Shih-Chia Huang; Jie Wu 003 (CoRR, 2024)

Backdoor Attack on Vertical Federated Graph Neural Network Learning. - Jirui Yang; Peng Chen 030; Zhihui Lu 002; Ruijun Deng; Qiang Duan; Jianping Zeng 002 (CoRR, 2024)

InvMetrics: Measuring Privacy Risks for Split Model-Based Customer Behavior Analysis. - Ruijun Deng; Shijing Hu; Junxiong Lin; Jirui Yang; Zhihui Lu 002; Jie Wu 003; Shih-Chia Huang; Qiang Duan (IEEE Trans. Consumer Electron., 2024)

Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis. - Ruijun Deng; Zhihui Lu 002; Qiang Duan (CoRR, 2025)