A framework for self-supervised federated domain adaptation

A framework for self-supervised federated domain adaptation

Abstract Unsupervised federated domain adaptation uses the knowledge from several distributed unlabelled source domains to complete the learning on the unlabelled target domain. Some of the existing methods have limited effectiveness and involve frequent communication. This paper proposes a framewor...

Full description

Bibliographic Details
Main Authors: Bin Wang, Gang Li, Chao Wu, WeiShan Zhang, Jiehan Zhou, Ye Wei
Format: Article
Language:English
Published: SpringerOpen 2022-04-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Domain adaptation
Distributed system
Self-supervised
Federated learning
Online Access:https://doi.org/10.1186/s13638-022-02104-8

Internet

https://doi.org/10.1186/s13638-022-02104-8

Similar Items