Adaptive Parameterization of Deep Learning Models for Federated Learning

Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle

Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication over…