Privacy-preserving machine learning for large-scale collaborative healthcare data analysis / Apprentissage automatique sécurisé pour l'analyse collaborative des données de santé à grande échelle
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Tác giả chưa xác định. Privacy-preserving machine learning for large-scale collaborative healthcare data analysis / Apprentissage automatique sécurisé pour l'analyse collaborative des données de santé à grande échelle. Thesis, HAL - Pháp.
Việt Nam (chuẩn TCVN 5453:1991):
. Privacy-preserving machine learning for large-scale collaborative healthcare data analysis / Apprentissage automatique sécurisé pour l'analyse collaborative des données de santé à grande échelle. Thesis. HAL - Pháp. Truy cập từ .
Tóm tắt
This PhD thesis explores the integration of privacy preservation, medical imaging, and Federated Learning (FL) using advanced cryptographic methods. Within the context of medical image analysis, we develop a privacy-preserving image registration (PPIR) framework. This framework addresses the challenge of registering images confidentially, without revealing their contents. By extending classical registration paradigms, we incorporate cryptographic tools like secure multi-party computation and hom...