SOTAVerified

Vertical Federated Learning

Papers

Showing 101125 of 195 papers

TitleStatusHype
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability0
Privacy Preserving Vertical Federated Learning for Tree-based Models0
Quadratic Functional Encryption for Secure Training in Vertical Federated Learning0
Reducing Communication for Split Learning by Randomized Top-k Sparsification0
Reliable Imputed-Sample Assisted Vertical Federated Learning0
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties0
RVFR: Robust Vertical Federated Learning via Feature Subspace Recovery0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference0
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization0
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating0
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree0
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning0
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning0
Secure Forward Aggregation for Vertical Federated Neural Networks0
Self-supervised Cross-silo Federated Neural Architecture Search0
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs0
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems0
Survey of Privacy Threats and Countermeasures in Federated Learning0
Synesthesia of Machines (SoM)-Aided FDD Precoding with Sensing Heterogeneity: A Vertical Federated Learning Approach0
Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach0
TabVFL: Improving Latent Representation in Vertical Federated Learning0
Towards Active Participant-Centric Vertical Federated Learning: Some Representations May Be All You Need0
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates0
Trading Off Privacy, Utility and Efficiency in Federated Learning0
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation0
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