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20202023
most citedA Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

3 citations · 4 across the 3 of their papers we have counts for

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cs.LG2022★ 1 cited

Federated Pruning: Improving Neural Network Efficiency with Federated Learning

Rongmei Lin, Yonghui Xiao, Tien-Ju Yang +4

Automatic Speech Recognition models require large amount of speech data for training, and the collection of such data often leads to privacy concerns. Federated learning has been w…