Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data
Attributed to:
Visual AI: An Open World Interpretable Visual Transformer
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-43895-0_39
Publication URI: http://dx.doi.org/10.1007/978-3-031-43895-0_39
Type: Book Chapter
Book Title: Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II (2023)
Page Reference: 414-424