Pelikan, Martin

5 publications

NeurIPS 2025 Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko

NeurIPS 2024 $\texttt{pfl-Research}$: Simulation Framework for Accelerating Research in Private Federated Learning Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis

NeurIPSW 2024 $\texttt{pfl-Research}$: Simulation Framework for Accelerating Research in Private Federated Learning Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta J, Mona Chitnis

NeurIPSW 2023 Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR Sheikh Shams Azam, Martin Pelikan, Vitaly Feldman, Kunal Talwar, Jan Silovsky, Tatiana Likhomanenko

ICMLW 2023 Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis