Dr. Yanmin Gong is an associate professor at Texas A&M School of Engineering Medicine. Her research includes machine learning, edge computing, trustworthy AI, and AI for health.
Research Interests
Machine Learning
Edge Computing
Trustworthy AI
AI for Health
Publications
FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models.
IEEE International Conference on Computer Communications (INFOCOM).
Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA
IEEE International Conference on Computer Communications (INFOCOM).
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
The International Conference on Learning Representations (ICLR).
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
International Conference on Computer Vision (ICCV).
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
The International Conference on Learning Representations (ICLR) Spotlight.
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
International Joint Conference on Artificial Intelligence (IJCAI).
Personalized Federated Learning with Differential Privacy
IEEE Internet of Things Journal (IoT-J).
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
IEEE Transactions on Information Forensics & Security (TIFS).