| Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings | Jul 26, 2023 | Federated LearningVertical Federated Learning | CodeCode Available | 0 | 5 |
| Communication-efficient Vertical Federated Learning via Compressed Error Feedback | Jun 20, 2024 | Federated LearningVertical Federated Learning | CodeCode Available | 0 | 5 |
| Achieving Model Fairness in Vertical Federated Learning | Sep 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning | Feb 24, 2025 | Federated LearningMachine Unlearning | CodeCode Available | 0 | 5 |
| Federated Machine Learning: Concept and Applications | Feb 13, 2019 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 0 | 5 |
| Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning | Oct 13, 2022 | Federated LearningReconstruction Attack | CodeCode Available | 0 | 5 |
| Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares Solution | Oct 26, 2022 | Data IntegrationFederated Learning | CodeCode Available | 0 | 5 |
| Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit | May 7, 2024 | Federated LearningThompson Sampling | CodeCode Available | 0 | 5 |
| Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit | Aug 8, 2024 | Federated LearningThompson Sampling | CodeCode Available | 0 | 5 |
| Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering | Oct 26, 2022 | ClusteringFederated Learning | CodeCode Available | 0 | 5 |
