1

Scalable and Privacy-Preserving Federated Principal Component Analysis

Privacy-Preserving Federated Recurrent Neural Networks

Bootstrapping for Approximate Homomorphic Encryption with Negligible Failure-Probability by Using Sparse-Secret Encapsulation

Scalable Privacy-Preserving Distributed Learning

Multiparty Homomorphic Encryption from Ring-Learning-with-Errors