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cs.LG2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation
Yukun Jiang, Peiran Wang, Chengguo Lin +2
Two-party split learning has emerged as a popular paradigm for vertical federated learning. To preserve the privacy of the label owner, split learning utilizes a split model, which…
cs.LG2022★ 1 cited
VFed-SSD: Towards Practical Vertical Federated Advertising
Wenjie Li, Qiaolin Xia, Junfeng Deng +5
As an emerging secure learning paradigm in lever-aging cross-agency private data, vertical federatedlearning (VFL) is expected to improve advertising models by enabling the joint l…