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FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning

FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning

30 November 2022
Young Geun Kim
Carole-Jean Wu
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning"

3 / 3 papers shown
Title
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
113
12
0
05 Mar 2024
Exploring and Exploiting Data Heterogeneity in Recommendation
Exploring and Exploiting Data Heterogeneity in Recommendation
Zimu Wang
Jiashuo Liu
Hao Zou
Xingxuan Zhang
Yue He
Dongxu Liang
Peng Cui
84
2
0
21 May 2023
Green Federated Learning
Green Federated Learning
Ashkan Yousefpour
Sheng Guo
Ashish Shenoy
Sayan Ghosh
Pierre Stock
Kiwan Maeng
Schalk-Willem Kruger
Michael G. Rabbat
Carole-Jean Wu
Ilya Mironov
FedMLAI4CE
106
10
0
26 Mar 2023
1