VLDB

2023

• OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization.

• FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

• Differentially Private Vertical Federated Clustering.

• Secure Shapley Value for Cross-Silo Federated Learning.

• Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification.

• Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.

• Federated Calibration and Evaluation of Binary Classifiers.