POSEIDON: Privacy-Preserving Federated Neural Network Learning

no code implementations • 1 Sep 2020 • Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux

In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an $N$-party, federated learning setting.

Federated Learning Privacy Preserving