Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models

Tarih

Yazarlar

Magara, Seyma Selcan

Pizones, Javier

Kleinstueck, Frank

Perez\\-Grueso, Francisco Javier Sanchez

Pellise, Ferran

DOI No

10.1109/ACCESS.2025.3540261

Diğer Tanımlayıcı No

WOS:001438240800035

Yayınevi

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Anahtar kelimeler

Data models, Computational modeling, Machine learning, Machine learning algorithms, Cryptography, Accuracy, Analytical models, Inference algorithms, Homomorphic encryption, Data privacy, Homomorphic Encryption, Privacy\\-Preserving Machine Learning, XGBoost

URI

https://openaccess.acibadem.edu.tr/handle/11443/5320

Koleksiyonlar

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