Apple Researchers Propose Semi-Supervised Federated ASR Recipe With Online Pseudo-Labels
Apple researchers published a practical recipe for semi-supervised federated automatic speech recognition. The method uses online pseudo-labels from a teacher model plus server update stabilization on labeled seed data. The work targets pseudo-label error compounding across output sequences and training rounds, which causes divergence and leaves a large gap to fully-supervised federated learning.
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