| Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions Q Duan, S Hu, R Deng, Z Lu Sensors 22 (16), 5983, 2022 | 72 | 2022 |
| Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions Q Duan, J Huang, S Hu, R Deng, Z Lu, S Yu IEEE Communications Surveys & Tutorials, 2023 | 69 | 2023 |
| HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services R Deng, X Du, Z Lu, Q Duan, SC Huang, J Wu 2023 IEEE International Conference on Web Services (ICWS), 658-668, 2023 | 20 | 2023 |
| InvMetrics: Measuring Privacy Risks for Split Model–Based Customer Behavior Analysis R Deng, S Hu, J Lin, J Yang, Z Lu, J Wu, SC Huang, Q Duan IEEE Transactions on Consumer Electronics, 2024 | 4 | 2024 |
| Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future Directions Q Duan, J Huang, S Hu, R Deng, Z Lu, S Yu TechRxiv, 2022 | | 2022 |
