PrivacyFL: A simulator for privacy-preserving and secure federated learning

1 code implementation • 19 Feb 2020 • Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal

In this paper, we motivate our research, describe the architecture of the simulator and associated protocols, and discuss its evaluation in numerous scenarios that highlight its wide range of functionality and its advantages.

Federated Learning Privacy Preserving