ResearchTrend.AI
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning

FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning

Changlin Song
Divya Saxena
Jiannong Cao
Yuqing Zhao
ArXivPDFHTML

Papers citing "FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning"

3 / 3 papers shown
Title
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
84
3
0
19 Nov 2024
A Survey on Class Imbalance in Federated Learning
A Survey on Class Imbalance in Federated Learning
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
FedML
39
13
0
21 Mar 2023
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
943
0
03 Feb 2021