3 papers
cs.CL2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
Yue Li, Lihong Zhang
Federated Learning (FL) faces major challenges regarding communication overhead and model privacy when training large language models (LLMs), especially in healthcare applications.…
physics.flu-dyn2025
Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations
Yue Li, Lihong Zhang
This paper presents an improved approach for preserving sharp interfaces in multiphase Lattice Boltzmann Method (LBM) simulations using Physics-Informed Neural Networks (PINNs). In…
cs.LG2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
Lihong Zhang, Yue Li
Federated learning (FL) enables collaborative model training across organizations without sharing raw data, addressing crucial privacy concerns in healthcare natural language proce…