[1807.00459] How To Backdoor Federated Learning (arxiv.org) citations：74

这个我没看，不知道质量咋样，我看相关就放过来了

Deep Models Under the GAN | Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security CCS17

联邦学习下的用GAN进行隐私窃取的攻击

Deep Leakage from Gradients (nips.cc)(nips2019)

联邦学习梯度信息中的隐私泄露

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning | IEEE Conference Publication | IEEE Xplore infocom19

联邦学习隐私泄露服务器端

[2209.15635] Vertical Semi-Federated Learning for Efficient Online Advertising (arxiv.org)

我刚刚分享的，纵向方面比较新的工作

这篇的reference

相关工作

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training

[2205.15987] Achieving Lightweight Federated Advertising with Self-Supervised Split Distillation (arxiv.org)

Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data | ACM Transactions on Intelligent Systems and Technology

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