2 papers
eess.AS2024
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition
Xuan Kan, Yonghui Xiao, Tien-Ju Yang +2
This work explores the challenge of enhancing Automatic Speech Recognition (ASR) model performance across various user-specific domains while preserving user data privacy. We emplo…
cs.LG2024
Federated Learning of Large ASR Models in the Real World
Yonghui Xiao, Yuxin Ding, Changwan Ryu +2
Federated learning (FL) has shown promising results on training machine learning models with privacy preservation. However, for large models with over 100 million parameters, the t…