Adaptive Parameterization of Deep Learning Models for Federated Learning

Adaptive Parameterization of Deep Learning Models for Federated Learning

6 February 2023

Morten From Elvebakken

Alexandros Iosifidis

Lukas Esterle

Papers citing "Adaptive Parameterization of Deep Learning Models for Federated Learning"

5 / 5 papers shown

Title
ProFed: a Benchmark for Proximity-based non-IID Federated Learning D. Domini G. Aguzzi Mirko Viroli FedML OOD 82 0 0 26 Mar 2025
Proximity-based Self-Federated Learning D. Domini G. Aguzzi Nicolas Farabegoli Mirko Viroli L. Esterle FedML 45 4 0 17 Jul 2024
Efficient Online Processing with Deep Neural Networks Lukas Hedegaard 20 0 0 23 Jun 2023
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 89 946 0 03 Feb 2021