Optimising Communication Overhead in Federated Learning Using NSGA-II

no code implementations • 1 Apr 2022 • José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba

Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy.

Federated Learning