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.
2
Pith papers citing it
fields
cs.CR 2years
2026 2representative citing papers
A blacklist/whitelist-guided prompt optimization plus diffusion pipeline produces de-identified chest X-rays that retain enough pathology for competitive report-generation training while cutting patient-identity classifier accuracy.
citing papers explorer
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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.
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Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation
A blacklist/whitelist-guided prompt optimization plus diffusion pipeline produces de-identified chest X-rays that retain enough pathology for competitive report-generation training while cutting patient-identity classifier accuracy.