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Martin Pelikán — most-cited papers & profile · Federated Learning
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Martin Pelikán
6
papers ·
20
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping
2023 · 5 citations
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
2023 · 5 citations
Population Expansion for Training Language Models with Private Federated Learning
2023
pfl-research: simulation framework for accelerating research in Private Federated Learning
2024
Top co-authors
Congzheng Song
· 2
Jan "Honza" Silovsky
· 2
Mona Chitnis
· 2
Sheikh Shams Azam
· 2
\'Aine Cahill
· 1
Christopher G. Brinton
· 1
Filip Granqvist
· 1
Kunal Talwar
· 1
Natarajan Krishnaswami
· 1
Rogier Van Dalen
· 1
Tatiana Likhomanenko
· 1
Tatiana Likhomanenko
· 1
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