| 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 | 222* | 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 | 179 | 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 | 163 | 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 | 157* | 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 | 127 | 2022 |
| 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 | 107 | 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 | 79 | 2021 |
| 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 | 49 | 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 | 32 | 2022 |
| 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 | 31 | 2023 |
| 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, HF Yang, H Li arXiv preprint arXiv:2404.02936, 2024 | 29 | 2024 |
| 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 | 27 | 2022 |
| 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 | 16 | 2023 |
| 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 Proceedings of Machine Learning and Systems 6, 224-238, 2024 | 13 | 2024 |
| 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 | 6 | 2022 |
| Unlocking the potential of federated learning: The symphony of dataset distillation via deep generative latents Y Jia, S Vahidian, J Sun, J Zhang, V Kungurtsev, NZ Gong, Y Chen European Conference on Computer Vision, 18-33, 2024 | 5 | 2024 |
| 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 | 4 | 2023 |
| A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models C Guo, F Cheng, Z Du, J Kiessling, J Ku, S Li, Z Li, M Ma, T Molom-Ochir, ... IEEE Circuits and Systems Magazine 25 (1), 35-57, 2025 | 2 | 2025 |
| 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 | 2 | 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 | 1 | 2023 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityPotvrđena adresa e-pošte na duke.edu