Towards Multi-Party Personalized Collaborative Learning in Remote Sensing

The powerful deep learning models in remote sensing are inseparable from the support of massive data. However, the privacy and sensitivity of remote sensing data (RSD) restrict the possibility of each party to collaboratively train and share a large general model. Although multi-party learning (MPL)...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024-02, p.1-1
Hauptverfasser:	Li, Jianzhao, Gong, Maoguo, Liu, Zaitian, Wang, Shanfeng, Zhang, Yourun, Zhou, Yu, Gao, Yuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Data models Federated learning Multi-party learning (Federated learning) Multiprotocol label switching personalized collaboration Remote sensing remote sensing data security remote sensing image classification remote sensing image segmentation Task analysis Training
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