FedGiA: An Efficient Hybrid Algorithm for Federated Learning

3 May 2022

Papers citing "FedGiA: An Efficient Hybrid Algorithm for Federated Learning"

5 / 5 papers shown

Title
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 42 0 0 23 Jul 2024
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay A. Atanasov Sonia Martinez 27 1 0 05 Sep 2023
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 26 15 0 11 Jun 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018