Maverick++: <italic>Collaboration-Free</italic> Unlearning for Medical Privacy Preservation in Healthcare Federated Systems

Federated Learning (FL) enables decentralized model training while preserving patient privacy, making it essential for medical AI applications. However, regulatory frameworks such as GDPR, CCPA, and LGPD mandate &#x201C;the right to be forgotten&#x201D;, requiring patient data removal from trained m...

Cijeli opis

Bibliografski detalji

Glavni autori:	Win Kent Ong, Chee Seng Chan
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	Medical image trustworthy AI federated learning federated unlearning machine unlearning
Online pristup:	https://ieeexplore.ieee.org/document/11173580/
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!