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20202022
most citedImproving on-device speaker verification using federated learning with privacy

2 citations · 5 across the 3 of their papers we have counts for

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cs.LG2021★ 2 cited

Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications

Matthias Paulik, Matt Seigel, Henry Mason +19

We describe the design of our federated task processing system. Originally, the system was created to support two specific federated tasks: evaluation and tuning of on-device ML sy…