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MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
Wouter Heyndrickx
,
Lewis H. Mervin
,
Tobias Morawietz
,
Noé Sturm
,
Lukas Friedrich
,
Adam Zalewski
,
Anastasia Pentina
,
Lina Humbeck
,
Martijn Oldenhof
,
Ritsuya Niwayama
,
Peter Schmidtke
,
Nikolas Fechner
,
Jaak Simm
,
Adam Arany
,
Nicolas Drizard
,
Rama Jabal
,
Arina Afanasyeva
,
Regis Loeb
,
Shlok Verma
,
Simon Harnqvist
et al. (29 additional authors not shown)
Published: 01 Jan 2024, Last Modified: 28 Jul 2025
J. Chem. Inf. Model. 2024
Everyone
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CC BY-SA 4.0
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