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20232026
most citedEnabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping

5 citations · 6 across the 14 of their papers we have counts for

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cs.CR2023

PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors

Guy N. Rothblum, Eran Omri, Junye Chen +1

Secure aggregation of high-dimensional vectors is a fundamental primitive in federated statistics and learning. A two-server system such as PRIO allows for scalable aggregation of…

cs.LG2023★ 5 cited

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping

Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman +4

While federated learning (FL) and differential privacy (DP) have been extensively studied, their application to automatic speech recognition (ASR) remains largely unexplored due to…