most citedParameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.AS2024★ 1 cited

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.LG2023

Heterogeneous Federated Learning Using Knowledge Codistillation

Jared Lichtarge, Ehsan Amid, Shankar Kumar +3

Federated Averaging, and many federated learning algorithm variants which build upon it, have a limitation: all clients must share the same model architecture. This results in unus…