AI RESEARCH
Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
arXiv CS.LG
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ArXi:2506.22342v2 Announce Type: replace Epidemic analyses increasingly rely on heterogeneous datasets, many of which are sensitive and require strong privacy protection. Although differential privacy (DP) has become a standard in machine learning and data sharing, its adoption in epidemiological modeling remains limited. In this work, we