| Billion-scale federated learning on mobile clients: A submodel design with tunable privacy C Niu, F Wu, S Tang, L Hua, R Jia, C Lv, Z Wu, G Chen Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020 | 144 | 2020 |
| Unlocking the value of privacy: Trading aggregate statistics over private correlated data C Niu, Z Zheng, F Wu, S Tang, X Gao, G Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 90 | 2018 |
| Achieving data truthfulness and privacy preservation in data markets C Niu, Z Zheng, F Wu, X Gao, G Chen IEEE Transactions on Knowledge and Data Engineering 31 (1), 105-119, 2019 | 60 | 2019 |
| From Server-Based to Client-Based Machine Learning: A Comprehensive Survey R Gu, C Niu, F Wu, G Chen, C Hu, C Lv, Z Wu ACM Computing Surveys 54 (1), 6:1-6:36, 2021 | 58* | 2021 |
| Making big money from small sensors: Trading time-series data under pufferfish privacy C Niu, Z Zheng, S Tang, X Gao, F Wu Proceedings of IEEE International Conference on Computer Communications …, 2019 | 58 | 2019 |
| Online pricing with reserve price constraint for personal data markets C Niu, Z Zheng, F Wu, S Tang, G Chen IEEE Transactions on Knowledge and Data Engineering 34 (4), 1928-1943, 2022 | 53 | 2022 |
| Trading data in good faith: Integrating truthfulness and privacy preservation in data markets C Niu, Z Zheng, F Wu, X Gao, G Chen 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 223-226, 2017 | 52 | 2017 |
| Toward Understanding the Influence of Individual Clients in Federated Learning Y Xue, C Niu, Z Zheng, S Tang, C Lv, F Wu, G Chen Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10560 …, 2021 | 48 | 2021 |
| Federated optimization under intermittent client availability Y Yan, C Niu, Y Ding, Z Zheng, S Tang, Q Li, F Wu, C Lyu, Y Feng, ... INFORMS Journal on Computing 36 (1), 185-202, 2024 | 44 | 2024 |
| Toward Verifiable and Privacy Preserving Machine Learning Prediction C Niu, F Wu, S Tang, S Ma, G Chen IEEE Transactions on Dependable and Secure Computing 19 (3), 1703-1721, 2022 | 43 | 2022 |
| Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning C Lv, C Niu, R Gu, X Jiang, Z Wang, B Liu, Z Wu, Q Yao, C Huang, ... 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022 | 42 | 2022 |
| Secure federated submodel learning C Niu, F Wu, S Tang, L Hua, R Jia, C Lv, Z Wu, G Chen arXiv preprint arXiv:1911.02254, 2019 | 31 | 2019 |
| Active client selection for clustered federated learning H Huang, W Shi, Y Feng, C Niu, G Cheng, J Huang, Z Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 28 | 2023 |
| On-device learning for model personalization with large-scale cloud-coordinated domain adaption Y Yan, C Niu, R Gu, F Wu, S Tang, L Hua, C Lyu, G Chen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
| ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data C Niu, Z Zheng, F Wu, S Tang, X Gao, G Chen IEEE Transactions on Knowledge and Data Engineering 33 (3), 975-990, 2021 | 22 | 2021 |
| Pricing GAN-based data generators under Rényi differential privacy X Jiang, C Niu, C Ying, F Wu, Y Luo Information Sciences 602, 57-74, 2022 | 20 | 2022 |
| Distributed optimization over block-cyclic data Y Ding, C Niu, Y Yan, Z Zheng, F Wu, G Chen, S Tang, R Jia Proceedings of the 6th ACM International Conference on Multimedia in Asia …, 2024 | 16 | 2024 |
| ERA: Towards privacy preservation and verifiability for online ad exchanges C Niu, M Zhou, Z Zheng, F Wu, G Chen Journal of Network and Computer Applications 98, 1-10, 2017 | 11 | 2017 |
| Kvsagg: Secure aggregation of distributed key-value sets Y Wu, S Dong, Y Zhou, Y Zhao, F Fu, T Yang, C Niu, F Wu, B Cui 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1775-1789, 2023 | 6 | 2023 |
| On-device learning with cloud-coordinated data augmentation for extreme model personalization in recommender systems R Gu, C Niu, Y Yan, F Wu, S Tang, R Jia, C Lyu, G Chen arXiv preprint arXiv:2201.10382, 2022 | 6 | 2022 |