Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data (2023)
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/10.48550/arxiv.2310.18815
Publication URI: https://arxiv.org/abs/2310.18815
Type: Preprint