LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. - Ang Li 005; Jingwei Sun 002; Binghui Wang; Lin Duan; Sicheng Li 001; Yiran Chen 001; Hai Li 001 (CoRR, 2020)

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CVPR, 2021)

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. - Ang Li 005; Jingwei Sun 002; Binghui Wang; Lin Duan; Sicheng Li 001; Yiran Chen 001; Hai Li 001 (SEC, 2021)

Hermes: an efficient federated learning framework for heterogeneous mobile clients. - Ang Li 005; Jingwei Sun 002; Pengcheng Li; Yu Pu; Hai Li 001; Yiran Chen 001 (MobiCom, 2021)

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. - Jingwei Sun 002; Ang Li 005; Louis DiValentin; Amin Hassanzadeh; Yiran Chen 001; Hai Li 001 (NeurIPS, 2021)

FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. - Ang Li 005; Jingwei Sun 002; Xiao Zeng; Mi Zhang 002; Hai Li 001; Yiran Chen 001 (SenSys, 2021)

Next Generation Federated Learning for Edge Devices: An Overview. - Jianyi Zhang; Zhixu Du; Jingwei Sun 002; Ang Li 005; Minxue Tang; Yuhao Wu; Zhihui Gao; Martin Kuo; Hai Helen Li; Yiran Chen 001 (CIC, 2022)

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. - Minxue Tang; Xuefei Ning; Yitu Wang; Jingwei Sun 002; Yu Wang 002; Hai Helen Li; Yiran Chen 001 (CVPR, 2022)

FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. - Jingwei Sun 002; Ang Li 005; Lin Duan; Samiul Alam; Xuliang Deng; Xin Guo 008; Haiming Wang 002; Maria Gorlatova; Mi Zhang 002; Hai Li 001; Yiran Chen 001 (SenSys, 2022)

Rethinking Normalization Methods in Federated Learning. - Zhixu Du; Jingwei Sun 002; Ang Li 005; Pin-Yu Chen; Jianyi Zhang; Hai (Helen) Li; Yiran Chen 001 (CoRR, 2022)

More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. - Yuewei Yang; Jingwei Sun 002; Ang Li 005; Hai Li 001; Yiran Chen 001 (CoRR, 2022)

Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. - Bokyung Kim; Zhixu Du; Jingwei Sun 002; Yiran Chen 001 (ICCAD, 2023)

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. - Jingwei Sun 002; Ziyue Xu 001; Dong Yang 005; Vishwesh Nath; Wenqi Li 001; Can Zhao 001; Daguang Xu; Yiran Chen 001; Holger R. Roth (ICCV, 2023)

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. - Jianyi Zhang; Ang Li 005; Minxue Tang; Jingwei Sun 002; Xiang Chen 010; Fan Zhang 069; Changyou Chen; Yiran Chen 001; Hai Li 001 (ICML, 2023)

Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. - Jingwei Sun 002; Zhixu Du; Anna Dai; Saleh Baghersalimi; Alireza Amirshahi; David Atienza; Yiran Chen 001 (CoRR, 2023)

PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. - Lin Duan; Jingwei Sun 002; Yiran Chen 001; Maria Gorlatova (CoRR, 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yiran Chen 001; Holger R. Roth (CoRR, 2023)

PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. - Jingwei Sun 002; Zhixu Du; Anna Dai; Saleh Baghersalimi; Alireza Amirshahi; David Atienza; Yiran Chen 001 (IEEE Big Data, 2024)

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. - Yuqi Jia; Saeed Vahidian; Jingwei Sun 002; Jianyi Zhang; Vyacheslav Kungurtsev; Neil Zhenqiang Gong; Yiran Chen 001 (ECCV (78), 2024)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yudong Liu; Zhixu Du; Yiran Chen 001; Holger R. Roth (ICML, 2024)

Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. - Minxue Tang; Jingwei Sun 002; Hai Helen Li; Yiran Chen 001 (ISVLSI, 2024)

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. - Zhixu Du; Shiyu Li 001; Yuhao Wu; Xiangyu Jiang; Jingwei Sun 002; Qilin Zheng; Yongkai Wu; Ang Li 005; Hai Li 001; Yiran Chen 001 (MLSys, 2024)

Federated Black-box Prompt Tuning System for Large Language Models on the Edge. - Yiming Li; Jingwei Sun 002; Yudong Liu; Yuandong Zhang; Ang Li 005; Beidi Chen; Holger R. Roth; Daguang Xu; Tingjun Chen; Yiran Chen 001 (MobiCom, 2024)

Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference. - Lin Duan; Jingwei Sun 002; Jinyuan Jia; Yiran Chen 001; Maria Gorlatova (NeurIPS, 2024)

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models. - Jingyang Zhang; Jingwei Sun 002; Eric C. Yeats; Yang Ouyang; Martin Kuo; Jianyi Zhang; Hao Yang 018; Hai Helen Li (CoRR, 2024)

Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. - Jingwei Sun 002; Zhixu Du; Yiran Chen 001 (CoRR, 2024)

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. - Cong Guo 003; Feng Cheng; Zhixu Du; James Kiessling; Jonathan Ku; Shiyu Li 001; Ziru Li; Mingyuan Ma; Tergel Molom-Ochir; Benjamin Morris 004; Haoxuan Shan; Jingwei Sun 002; et al. (CoRR, 2024)

LoBAM: LoRA-Based Backdoor Attack on Model Merging. - Ming Yin; Jingyang Zhang; Jingwei Sun 002; Minghong Fang; Hai Li 001; Yiran Chen 001 (CoRR, 2024)

SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval. - Yueqian Lin; Yuzhe Fu; Jingyang Zhang; Yudong Liu; Jianyi Zhang; Jingwei Sun 002; Hai; Yiran Chen 001 (CoRR, 2024)

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. - Martin Kuo; Jingyang Zhang; Jianyi Zhang; Minxue Tang; Louis DiValentin; Aolin Ding; Jingwei Sun 002; William Chen; Amin Hass; Tianlong Chen 001; Yiran Chen 001; Hai Li 001 (ICLR, 2025)

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models. - Jingyang Zhang; Jingwei Sun 002; Eric C. Yeats; Yang Ouyang; Martin Kuo; Jianyi Zhang; Hao (Frank) Yang; Hai Li 001 (ICLR, 2025)

Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing. - Yudong Liu; Jingwei Sun 002; Yueqian Lin; Jingyang Zhang; Ming Yin; Qinsi Wang; Jianyi Zhang; Hai Li 001; Yiran Chen 001 (CoRR, 2025)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. - Yide Ran; Wentao Guo; Jingwei Sun 002; Yanzhou Pan; Xiaodong Yu; Hao Wang; Jianwen Xie; Yiran Chen 001; Denghui Zhang; Zhaozhuo Xu (CoRR, 2025)

SADA: Stability-guided Adaptive Diffusion Acceleration. - Ting Jiang; Yixiao Wang; Hancheng Ye; Zishan Shao; Jingwei Sun 002; Jingyang Zhang; Zekai Chen; Jianyi Zhang; Yiran Chen 001; Hai Li 001 (CoRR, 2025)