Introduces an anonymous two-party GBDT protocol using dual circuit-PSI and halved-cost ciphertext packing in homomorphic encryption to hide shared record IDs while claiming competitive efficiency.
Eliminating label leakage in tree- based vertical federated learning
2 Pith papers cite this work. Polarity classification is still indexing.
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Practical Anonymous Two-Party Gradient Boosting Decision Tree
Introduces an anonymous two-party GBDT protocol using dual circuit-PSI and halved-cost ciphertext packing in homomorphic encryption to hide shared record IDs while claiming competitive efficiency.
- Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation