[HTML][HTML] A Semi-Federated Active Learning Framework for Unlabeled Online Network Data

Y Zhou, Y Hu, J Sun, R He, W Kang - Mathematics, 2023 - mdpi.com
Federated Learning (FL) is a newly emerged federated optimization technique for distributed
data in a federated network. The participants in FL that train the model locally are classified …

A Semi-Federated Active Learning Framework for Unlabeled Online Network Data

Y Zhou, Y Hu, J Sun, R He, W Kang - Mathematics, 2023 - search.proquest.com
Federated Learning (FL) is a newly emerged federated optimization technique for distributed
data in a federated network. The participants in FL that train the model locally are classified …

A Semi-Federated Active Learning Framework for Unlabeled Online Network Data

Y Zhou, Y Hu, J Sun, R He, W Kang - Mathematics, 2023 - econpapers.repec.org
Federated Learning (FL) is a newly emerged federated optimization technique for distributed
data in a federated network. The participants in FL that train the model locally are classified …

A Semi-Federated Active Learning Framework for Unlabeled Online Network Data

Y Zhou, Y Hu, J Sun, R He, W Kang - Mathematics, 2023 - ideas.repec.org
Federated Learning (FL) is a newly emerged federated optimization technique for distributed
data in a federated network. The participants in FL that train the model locally are classified …

A Semi-Federated Active Learning Framework for Unlabeled Online Network Data.

Y Zhou, Y Hu, J Sun, R He… - Mathematics (2227 …, 2023 - search.ebscohost.com
Federated Learning (FL) is a newly emerged federated optimization technique for distributed
data in a federated network. The participants in FL that train the model locally are classified …