May 6, 2024 · In this article, we introduce a vertical federated unlearning framework, which integrates model checkpointing techniques with a hybrid, first- ...
Vertical federated learning (VFL) revolutionizes privacy-preserved collaboration for small businesses that have distinct but complementary feature sets.
In this paper, we introduce a vertical federated unlearning framework, which integrates model checkpointing techniques with a hybrid, first-order optimization ...
Oct 14, 2024 · We propose a few-shot label unlearning method that effectively erases labels from both the active and passive models in vertical federated ...
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What is vertical federated learning?
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Efficient Vertical Federated Unlearning via Fast Retraining. Z Wang, X Gao, C Wang, P Cheng, J Chen. ACM Transactions on Internet Technology, 2024. 4, 2024.
Oct 14, 2024 · We propose a few-shot unlearning method that effectively erases labels from both the active model and passive model in vertical federated learning.
Sep 22, 2024 · This paper addresses the critical challenge of unlearning in Vertical Federated Learning (VFL), an area that has received limited attention ...
In this paper, we introduce a vertical federated unlearning framework, which integrates model checkpointing techniques with a hybrid, first-order optimization ...
A collection of academic articles, published methodology, and datasets on the subject of machine unlearning.
Vertical federated learning is designed to protect user privacy by building local models over disparate datasets and transferring intermediate parameters ...