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News/ZK-APEX: Zero-Knowledge Approximate Personalized Unlearning with Executable Proofs
arxiv
PublishedApril 17, 2026 at 4:00 AM
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ZK-APEX: Zero-Knowledge Approximate Personalized Unlearning with Executable Proofs

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arXiv:2512.09953v2 Announce Type: replace-cross Abstract: Machine unlearning aims to remove the influence of specific data points from a trained model to satisfy privacy, copyright, and safety requirements. In real deployments, providers distribute a global model to many edge devices, where each cli

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