Zobrazeno 1 - 10
of 41 955
pro vyhledávání: '"Disparate impact"'
Autor:
Gehling, Kate1
Publikováno v:
University of Chicago Law Review. Sep2023, Vol. 90 Issue 5, p1471-1516. 46p.
Autor:
Sheffrin, Steven M.1
Publikováno v:
Virginia Tax Review. Spring2024, Vol. 43 Issue 3, p331-360. 30p.
Autor:
Bowker, Dustine1
Publikováno v:
Washington Law Review. Jun2024, Vol. 99 Issue 2, p561-605. 45p.
Autor:
MASSARI, JULIA1,2
Publikováno v:
University of Illinois Law Review. 2024, Vol. 2024 Issue 3, p1045-1073. 29p.
Although conformal prediction is a promising method for quantifying the uncertainty of machine learning models, the prediction sets it outputs are not inherently actionable. Many applications require a single output to act on, not several. To overcom
Externí odkaz:
http://arxiv.org/abs/2410.01888
Federated Learning (FL) is a decentralized machine learning (ML) approach that keeps data localized and often incorporates Differential Privacy (DP) to enhance privacy guarantees. Similar to previous work on DP in ML, we observed that differentially
Externí odkaz:
http://arxiv.org/abs/2405.19272
Autor:
Jing Liu1, Hyman, David A.2 dah137@georgetown.edu
Publikováno v:
Journal of Health Politics, Policy & Law. Apr2023, Vol. 48 Issue 2, p241-267. 27p. 8 Charts.