Effiris Project Synopsis on Vimeo

Federated learning in computational toxicology: an industrial perspective on the Effiris Hackathon Chem Res Toxicol 2023;36:1503–1517 doi: acs

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effiris The advantage is that member data are kept confidential, thanks to privacy-preserving knowledge transfer methods, but all users of Effiris benefit from the

effiris supporting the improvement of predictions made within Derek, Effiris, Sarah, Mirabilis and Zeneth Effiris is a qualitative model suite that