| Federated analytics: Opportunities and challenges D Wang, S Shi, Y Zhu, Z Han IEEE Network 36 (1), 151-158, 2021 | 47 | 2021 |
| Federated anomaly analytics for local model poisoning attack S Shi, C Hu, D Wang, Y Zhu, Z Han IEEE Journal on Selected Areas in Communications 40 (2), 596-610, 2021 | 44 | 2021 |
| Federated hd map updating through overlapping coalition formation game S Shi, C Hu, D Wang, Y Zhu, Z Han IEEE Transactions on Mobile Computing 23 (2), 1641-1654, 2023 | 9 | 2023 |
| Preva: Protecting inference privacy through policy-based video-frame transformation R Lu, S Shi, D Wang, C Hu, B Zhang 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 175-188, 2022 | 8 | 2022 |
| Distributionally robust federated learning for differentially private data S Shi, C Hu, D Wang, Y Zhu, Z Han 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 6 | 2022 |
| Distributionally robust federated learning for network traffic classification with noisy labels S Shi, Y Guo, D Wang, Y Zhu, Z Han IEEE Transactions on Mobile Computing 23 (5), 6212-6226, 2023 | 3 | 2023 |
| EPC: a video analytics system with efficient edge-side privacy control B Zhang, S Shi, D Wang, C Hu Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet …, 2022 | 2 | 2022 |
| PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness C Hu, N Wu, S Shi, X Liu, W Wu, B Luo, KY Wang, J Jiang, D Cheng IEEE Transactions on Mobile Computing, 2024 | 1 | 2024 |
| Design and Implementation of a Role-Based Access Control for Categorized Resource in Smart Community Systems S Shi, C Xu 2016 7th International Conference on Cloud Computing and Big Data (CCBD …, 2016 | 1 | 2016 |
| Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data T Ling, S Shi, H Wang, C Hu, D Wang Proceedings of the 32nd ACM International Conference on Multimedia, 4899-4908, 2024 | | 2024 |
| SAMEdge: An Edge-cloud Video Analytics Architecture for the Segment Anything Model R Lu, S Shi, Y Liu, D Wang arXiv preprint arXiv:2409.14784, 2024 | | 2024 |
| Privacy Protectability: An Information-theoretical Approach S Shi, B Zhang, D Wang arXiv preprint arXiv:2305.15697, 2023 | | 2023 |
| Privacy-preserving and robust federated learning on noisy environment S Shi Hong Kong Polytechnic University, 2023 | | 2023 |
Dan WangThe Hong Kong Polytechnic UniversityVerificeret mail på comp.polyu.edu.hk