Jingwei Sun

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

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Publications

Jingwei Sun, Zhixu Du, Yiran Chen
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. CoRR (2024)
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 (2024)
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)
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 (2023)
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 (2023)
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)
Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR (2023)
Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD (2023)
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 (2023)
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)
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 (2023)
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)
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)
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 (2022)
Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR (2022)
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)
Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen
Rethinking Normalization Methods in Federated Learning. CoRR (2022)
Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom (2021)
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)