Industry-Scale Orchestrated Federated Learning for Drug Discovery

Autor: Oldenhof, M, Acs, G, Pejo, B, Schuffenhauer, A, Holway, N, Sturm, N, Dieckmann, A, Fortmeier, O, Boniface, E, Mayer, C, Gohier, A, Schmidtke, P, Niwayama, R, Kopecky, D, Mervin, L, Rathi, PC, Friedrich, L, Formanek, A, Antal, P, Rahaman, J, Zalewski, A, Heyndrickx, W, Oluoch, E, Stossel, M, Vanco, M, Endico, D, Gelus, F, de Boisfosse, T, Darbier, A, Nicollet, A, Blottiere, M, Telenczuk, M, Nguyen, VT, Martinez, T, Boillet, C, Moutet, K, Picosson, A, Gasser, A, Djafar, I, Simon, A, Arany, Ádám, Simm, J, Moreau, Yves, Engkvist, O, Ceulemans, H, Marini, C, Galtier, M

To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n{\deg}831472), which was comprised of 10 pharmaceutical companies, academic research

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::509aaedc6517aee743f426b4cee5cd7d
http://arxiv.org/abs/2210.08871

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