| Soteria: Provable defense against privacy leakage in federated learning from representation perspective J Sun, A Li, B Wang, H Yang, H Li, Y Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 148* | 2021 |
| Hermes: an efficient federated learning framework for heterogeneous mobile clients A Li, J Sun, P Li, Y Pu, H Li, Y Chen Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 118 | 2021 |
| Lotteryfl: Empower edge intelligence with personalized and communication-efficient federated learning A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li 2021 IEEE/ACM Symposium on Edge Computing (SEC), 68-79, 2021 | 114* | 2021 |
| Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking A Li, J Sun, X Zeng, M Zhang, H Li, Y Chen Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 103 | 2021 |
| Fl-wbc: Enhancing robustness against model poisoning attacks in federated learning from a client perspective J Sun, A Li, L DiValentin, A Hassanzadeh, Y Chen, H Li Advances in Neural Information Processing Systems 34, 12613-12624, 2021 | 58 | 2021 |
| FedCor: Correlation-based active client selection strategy for heterogeneous federated learning M Tang, X Ning, Y Wang, J Sun, Y Wang, H Li, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| Lotteryfl: Empower edge intelligence with personalized and communication-efficient federated learning A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li 2021 IEEE/ACM Symposium on Edge Computing (SEC), 68-79, 2021 | 44 | 2021 |
| Rethinking normalization methods in federated learning Z Du, J Sun, A Li, PY Chen, J Zhang, HH Li, Y Chen Proceedings of the 3rd International Workshop on Distributed Machine …, 2022 | 16 | 2022 |
| Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction J Zhang, A Li, M Tang, J Sun, X Chen, F Zhang, C Chen, Y Chen, H Li International Conference on Machine Learning, 41354-41381, 2023 | 14 | 2023 |
| FedSEA: a semi-asynchronous federated learning framework for extremely heterogeneous devices J Sun, A Li, L Duan, S Alam, X Deng, X Guo, H Wang, M Gorlatova, ... Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 8 | 2022 |
| Personalized and communication-efficient federated learning with lottery ticket hypothesis on non-iid datasets A Li, J Sun, B Wang, L Duan, S Li, Y Chen, HL Li arXiv preprint arXiv:2008.03371 2, 2020 | 6 | 2020 |
| FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models J Sun, Z Xu, H Yin, D Yang, D Xu, Y Chen, HR Roth arXiv preprint arXiv:2310.01467, 2023 | 4 | 2023 |
| Robust and ip-protecting vertical federated learning against unexpected quitting of parties J Sun, Z Du, A Dai, S Baghersalimi, A Amirshahi, D Atienza, Y Chen arXiv preprint arXiv:2303.18178, 2023 | 3 | 2023 |
| Communication-efficient vertical federated learning with limited overlapping samples J Sun, Z Xu, D Yang, V Nath, W Li, C Zhao, D Xu, Y Chen, HR Roth Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Next Generation Federated Learning for Edge Devices: An Overview J Zhang, Z Du, J Sun, A Li, M Tang, Y Wu, Z Gao, M Kuo, HH Li, Y Chen 2022 IEEE 8th International Conference on Collaboration and Internet …, 2022 | 2 | 2022 |
| Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models J Zhang, J Sun, E Yeats, Y Ouyang, M Kuo, J Zhang, H Yang, H Li arXiv preprint arXiv:2404.02936, 2024 | | 2024 |
| SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models Z Du, S Li, Y Wu, X Jiang, J Sun, Q Zheng, Y Wu, A Li, H Li, Y Chen arXiv preprint arXiv:2310.18859, 2023 | | 2023 |
| Towards the Efficiency, Heterogeneity, and Robustness of Edge AI B Kim, Z Du, J Sun, Y Chen 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-7, 2023 | | 2023 |
| PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties J Sun, Z Du, A Dai, S Baghersalimi, A Amirshahi, Q Zheng, D Atienza, ... | | 2023 |
| PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information L Duan, J Sun, Y Chen, M Gorlatova arXiv preprint arXiv:2306.07973, 2023 | | 2023 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityBestätigte E-Mail-Adresse bei duke.edu
