Juan Ramón Troncoso-Pastoriza

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Privacy Preserving Machine Learning

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference

Scalable and privacy-preserving federated principal component analysis

Multiparty homomorphic encryption: From theory to practice

Secure and federated genome-wide association studies for Biobank-scale datasets

Bootstrapping for approximate homomorphic encryption with negligible failure-probability by using sparse-secret encapsulation

Privacy-preserving federated neural network learning for disease-associated cell classification