3 papers
cs.LG2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang, Chen Li, Huachong Yu +2
Federated learning (FL) has emerged as a transformative training paradigm, particularly invaluable in privacy-sensitive domains like healthcare. However, client heterogeneity in da…
q-bio.BM2024
Molecular Generative Adversarial Network with Multi-Property Optimization
Huidong Tang, Chen Li, Sayaka Kamei +2
Deep generative models, such as generative adversarial networks (GANs), have been employed for molecular generation in drug discovery. Most prior studies have utilized re…
cs.CL2023
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
Shuai Jiang, Sayaka Kamei, Chen Li +2
The successful application of large pre-trained models such as BERT in natural language processing has attracted more attention from researchers. Since the BERT typically acts as a…