Apple researchers present a method for semi-supervised federated learning in automatic speech recognition that uses per-client online pseudo-label generation stabilized by server-side updates on labeled data.

The approach improves over prior methods on 9 of 11 evaluation pairs, narrowing the gap to fully-supervised federated learning.