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Found 2 papers, 1 papers with code
Robust and Communication-Efficient Federated Domain Adaptation via Random Features
As a result, there is a growing trend to leverage federated learning (FL) techniques to train large ML models in a distributed and collaborative manner.
BIT's system for the AutoSimTrans 2020
Experimental results of the transcription and the ASR output translation on the development data sets show that the translation system with the detection model based method outperforms the one with the length based method in BLEU score by 1. 19 and 0. 99 respectively under similar or better latency.
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