| Security and privacy threats to federated learning: Issues, methods, and challenges J Zhang, H Zhu, F Wang, J Zhao, Q Xu, H Li Security and Communication Networks 2022 (1), 2886795, 2022 | 54 | 2022 |
| A survey on security and privacy threats to federated learning J Zhang, M Li, S Zeng, B Xie, D Zhao 2021 International conference on networking and network applications (NaNA …, 2021 | 35 | 2021 |
| The trade-off between privacy and utility in local differential privacy M Li, Y Tian, J Zhang, D Fan, D Zhao 2021 International Conference on Networking and Network Applications (NaNA …, 2021 | 4 | 2021 |
| IMFL: An incentive mechanism for federated learning with personalized protection M Li, Y Tian, J Zhang, Z Zhou, D Zhao, J Ma IEEE Internet of Things Journal, 2024 | 3 | 2024 |
| iDP-FL: A fine-grained and privacy-aware federated learning framework for deep neural networks J Zhang, H Zhu, F Wang, Y Zheng, Z Liu, H Li Information Sciences 679, 121035, 2024 | 1 | 2024 |
