Towards Federated Domain Unlearning: Verification Methodologies and Challenges

Federated Learning (FL) has evolved as a powerful tool for collaborative model training across multiple entities, ensuring data privacy in sensitive sectors such as healthcare and finance. However, the introduction of the Right to Be Forgotten (RTBF) poses new challenges, necessitating federated unl...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Tam, Kahou, Xu, Kewei, Li, Li, Fu, Huazhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Empirical analysis Federated learning Performance degradation Privacy Subspaces
Online-Zugang:	Volltext
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