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

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

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 into client nodes. The server node assumes the responsibility to aggregate local models from client nodes withou...

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Bibliographic Details
Main Authors: Yuwen Zhou, Yuhan Hu, Jing Sun, Rui He, Wenjie Kang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
network data
federated learning
unlabeled data
heterogeneous data
Online Access:https://www.mdpi.com/2227-7390/11/8/1972

Internet

https://www.mdpi.com/2227-7390/11/8/1972

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