| Label Privacy in Split Learning for Large Models with Parameter-Efficient Training | Dec 21, 2024 | Federated Learningparameter-efficient fine-tuning | CodeCode Available | 0 |
| Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning | Dec 16, 2024 | Federated LearningPrivacy Preserving Deep Learning | CodeCode Available | 0 |
| Vertical Federated Unlearning via Backdoor Certification | Dec 16, 2024 | Federated LearningVertical Federated Learning | CodeCode Available | 0 |
| Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning | Nov 5, 2024 | Adversarial AttackFederated Learning | CodeCode Available | 0 |
| A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example | Oct 30, 2024 | Federated LearningVertical Federated Learning | —Unverified | 0 |
| Vertical Federated Learning with Missing Features During Training and Inference | Oct 29, 2024 | Federated LearningVertical Federated Learning | CodeCode Available | 0 |
| Towards Active Participant-Centric Vertical Federated Learning: Some Representations May Be All You Need | Oct 23, 2024 | AllFederated Learning | —Unverified | 0 |
| Deep Learning Aided Broadcast Codes with Feedback | Oct 22, 2024 | Deep LearningFederated Learning | —Unverified | 0 |
| A few-shot Label Unlearning in Vertical Federated Learning | Oct 14, 2024 | Computational EfficiencyFederated Learning | —Unverified | 0 |
| Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation | Oct 11, 2024 | Binary ClassificationFederated Learning | —Unverified | 0 |
