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[HTML][HTML] Asynchronous federated learning on heterogeneous devices: A survey

C Xu, Y Qu, Y Xiang, L Gao - Computer Science Review, 2023 - Elsevier
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …
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Asynchronous federated learning on heterogeneous devices:: A survey

C Xu, Y Qu, Y Xiang, L Gao - 2023 - dl.acm.org
Federated learning (FL) is a kind of distributed machine learning framework, where the
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Asynchronous Federated Learning on Heterogeneous Devices: A Survey

C Xu, Y Qu, Y Xiang, L Gao - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning (FL) is a kind of distributed machine learning framework, where the
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Asynchronous Federated Learning on Heterogeneous Devices: A Survey

C Xu, Y Qu, Y Xiang, L Gao - arXiv preprint arXiv:2109.04269, 2021 - arxiv.org
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …

Asynchronous federated learning on heterogeneous devices: A survey

C Xu, Y Qu, Y Xiang, L Gao - 2023 - dro.deakin.edu.au
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …
[PDF] researchgate.net

[PDF][PDF] Asynchronous Federated Learning on Heterogeneous Devices: A Survey

C XU, Y QU, Y XIANG, L GAO - arXiv preprint arXiv:2109.04269, 2021 - researchgate.net
In recent years, the rapid expansion of computing power and fast evolution of
communication infrastructures directly result in the prosperity of machine learning (ML) …

Asynchronous federated learning on heterogeneous devices: A survey

C Xu, Y Qu, Y Xiang, L Gao - 2023 - dro.deakin.edu.au
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …