Anonymizing Data for Privacy-Preserving Federated Learning

no code implementations • 21 Feb 2020 • Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das

In this paper, we propose the first syntactic approach for offering privacy in the context of federated learning.

BIG-bench Machine Learning Federated Learning +1

Differential Privacy-enabled Federated Learning for Sensitive Health Data

no code implementations • 7 Oct 2019 • Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das

We demonstrate the feasibility and effectiveness of the federated learning framework in offering an elevated level of privacy and maintaining utility of the global model.

Federated Learning