Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification

The feasibility of Federated Learning (FL) is highly dependent on the training and inference capabilities of local models, which are subject to the availability of meaningful and annotated data. The availability of such data is in turn contingent on the tedious and time-consuming annotation job that...

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Bibliographic Details
Main Authors: Lulwa Ahmed, Kashif Ahmad, Naina Said, Basheer Qolomany, Junaid Qadir, Ala Al-Fuqaha
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Federated learning
deep learning
active learning
CNNs
LSTM
natural disasters
Online Access:https://ieeexplore.ieee.org/document/9261337/

Internet

https://ieeexplore.ieee.org/document/9261337/

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