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10/11/2021
Partial Variable Training for Efficient On-Device Federated Learning
This paper aims to address the major challenges of Federated Learning (F...
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10/08/2021
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training
Transformer-based architectures have been the subject of research aimed ...
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10/07/2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout
Federated learning can be used to train machine learning models on the e...
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10/29/2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
We propose using federated learning, a decentralized on-device learning ...
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12/14/2019
