arxiv
PublishedApril 30, 2026 at 4:00 AM
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Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging
Publisher summary· verbatim
arXiv:2604.26809v1 Announce Type: new Abstract: Federated Unlearning (FU) is an emerging paradigm in Federated Learning (FL) that enables participating clients to fully remove their contributions from a trained global model, driven by data protection regulations that mandate the right to be forgotte
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Originally published on arxiv ↗