FedSAE: A novel self-adaptive federated learning framework in heterogeneous systems

L Li, M Duan, D Liu, Y Zhang, A Ren… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Federated Learning (FL) is a novel distributed machine learning which allows thousands of
edge devices to train model locally without uploading data concentrically to the server. But …
被引用次数：42 相关文章
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[PDF][PDF] FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems

L Li, M Duan, D Liu, Y Zhang, A Ren, X Chen, Y Tan… - researchgate.net
Federated Learning (FL) is a novel distributed machine learning which allows thousands of
edge devices to train model locally without uploading data concentrically to the server. But …

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems

L Li, M Duan, D Liu, Y Zhang, A Ren, X Chen… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Federated Learning (FL) is a novel distributed machine learning which allows thousands of
edge devices to train model locally without uploading data concentrically to the server. But …

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems

L Li, M Duan, D Liu, Y Zhang, A Ren, X Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Federated Learning (FL) is a novel distributed machine learning which allows thousands of
edge devices to train model locally without uploading data concentrically to the server. But …