Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning

Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto +1

Federated Learning (FL) has been proposed as a privacy-preserving solution for distributed machine learning, particularly in heterogeneous FL settings where clients have varying co…