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Jingwei Sun 0002
Person information
- affiliation: Duke University, Durham, NC, USA
Other persons with the same name
- Jingwei Sun — disambiguation page
- Jingwei Sun 0001
— University of Science and Technology of China, Hefei, China
- Jingwei Sun 0003 — Tianjin Normal University, Tianjin, China
- Jingwei Sun 0004 — Qiqihar University, Qiqihar, China
- Jingwei Sun 0005
— Lenovo Research, Beijing, China
- Jingwei Sun 0006 — PetroChina Jidong Oilfield Company, Tangshan, China
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2020 – today
- 2024
- [c12]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys 2024 - [i14]Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li:
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models. CoRR abs/2404.02936 (2024) - [i13]Jingwei Sun, Zhixu Du, Yiran Chen:
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. CoRR abs/2405.19686 (2024) - 2023
- [c11]Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen:
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD 2023: 1-7 - [c10]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV 2023: 5180-5189 - [c9]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - [i12]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i11]Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR abs/2303.18178 (2023) - [i10]Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova:
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR abs/2306.07973 (2023) - [i9]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR abs/2310.01467 (2023) - [i8]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR abs/2310.18859 (2023) - [i7]Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen:
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. CoRR abs/2312.01537 (2023) - 2022
- [c8]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c7]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c6]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam
, Xuliang Deng, Xin Guo
, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [i6]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i5]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i4]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - 2021
- [c5]Jingwei Sun
, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c4]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC 2021: 68-79 - [c3]Ang Li, Jingwei Sun
, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen:
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom 2021: 420-437 - [c2]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS 2021: 12613-12624 - [c1]Ang Li, Jingwei Sun
, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen:
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys 2021: 42-55 - [i3]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR abs/2110.13864 (2021) - 2020
- [i2]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR abs/2008.03371 (2020) - [i1]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020)
Coauthor Index
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last updated on 2024-08-07 22:32 CEST by the dblp team
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