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

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

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cs.LG2026

Neural Network Conversion of Machine Learning Pipelines

Man-Ling Sung, Jan Silovsky, Man-Hung Siu +2

Transfer learning and knowledge distillation has recently gained a lot of attention in the deep learning community. One transfer approach, the student-teacher learning, has been sh…

cs.LG2025★ 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…