FedZaCt: Federated Learning with Z Average and Cross-Teaching on Image Segmentation

In Federated Learning (FL), data communication among clients is denied. However, it is difficult to learn from the decentralized client data, which is under-sampled, especially for segmentation tasks that need to extract enough contextual semantic information. Existing FL studies always average clie...

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Bibliographic Details
Main Authors: Tingyang Yang, Jingshuang Xu, Mengxiao Zhu, Shan An, Ming Gong, Haogang Zhu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/20/3262