 PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device ConstraintsDesign Automation Conference (DAC), 2025 |
 Uncovering Gradient Inversion Risks in Practical Language Model TrainingConference on Computer and Communications Security (CCS), 2024 |
 FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated ClientsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2024 |
 AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on
Smartphone ScreenshotsACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2024 |
 Grounding Foundation Models through Federated Transfer Learning: A
General FrameworkACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 |
 Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing
ModelsThe Web Conference (WWW), 2022 |
