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Jingwei Sun
Jingwei Sun
PhD student, Duke ECE
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
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
153*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
1222021
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
121*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
1092021
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
602021
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
532022
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
472021
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
162022
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
152023
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
82022
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
62020
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
52023
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
42023
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
32023
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
22022
ASAP: An Efficient and Reliable Programming Algorithm for Multi-level RRAM Cell
J Sun, Z Wang, J Gao, L Shan, Q Wang, Y Yang, Y Cai, R Huang
2024 IEEE International Reliability Physics Symposium (IRPS), 1-4, 2024
2024
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
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