AI RESEARCH
TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
arXiv CS.LG
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ArXi:2603.21656v1 Announce Type: new Protecting patient privacy remains a fundamental barrier to scaling machine learning across healthcare institutions, where centralizing sensitive data is often infeasible due to ethical, legal, and regulatory constraints. Federated learning offers a promising alternative by enabling privacy-preserving, multi-institutional