Federated transfer learning for disaster classification in social computing networks

Federated transfer learning for disaster classification in social computing networks

Social media analytics have played an important role in disaster identification. Recent advances in deep learning (DL) technologies have been applied to design disaster classification models. However, the DL-based models are hindered by insufficient training samples, because data collection and labe...

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Bibliographic Details
Main Authors: Zehui Zhang, Ningxin He, Dongyu Li, Hang Gao, Tiegang Gao, Chuan Zhou
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-03-01
Series:Journal of Safety Science and Resilience
Subjects:
Social computing
Disaster classification
Federated learning
Transfer learning
Privacy-preserving
Online Access:http://www.sciencedirect.com/science/article/pii/S2666449621000566

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http://www.sciencedirect.com/science/article/pii/S2666449621000566

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