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Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks

Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks

Fan Dong
Henry Leung
Steve Drew
ArXiv (abs)PDFHTML

Papers citing "Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks"

3 / 3 papers shown
Title
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon
Sumin Shin
Sung Ju Hwang
Eunho Yang
FedML
68
172
0
01 Jul 2021
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
152
407
0
03 Oct 2020
Communication-Efficient Learning of Deep Networks from Decentralized Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,559
0
17 Feb 2016

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