SpaFL: Communication-Efficient Federated Learning with Sparse Models and
Low computational Overhead

SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead

1 June 2024

Merouane Debbah

Choong Seon Hong

Papers citing "SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead"

4 / 4 papers shown

Title
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 55 5 0 15 Apr 2024
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 19 7 0 20 Nov 2023
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 51 34 0 30 Sep 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 152 206 0 26 Feb 2021