Using Class and Domain Information to Address Domain Shift in Federated Learning.
- DOI
- 10.1109/tnnls.2026.3658584
- Published
- 2026 Sep
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3658584,
title = {Using Class and Domain Information to Address Domain Shift in Federated Learning.},
author = {Chiou CY and Huang CR and Latour LL and Fann YC and Chung PC},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3658584},
url = {https://doi.org/10.1109/tnnls.2026.3658584}
}RIS
TY - JOUR TI - Using Class and Domain Information to Address Domain Shift in Federated Learning. AU - Chiou CY AU - Huang CR AU - Latour LL AU - Fann YC AU - Chung PC PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3658584 UR - https://doi.org/10.1109/tnnls.2026.3658584 ER -
APA
CY, C., CR, H., LL, L., YC, F., & PC, C. (2026). Using Class and Domain Information to Address Domain Shift in Federated Learning.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3658584
Source records
- pubmed · retrieved 2026-11-10T12:21:39.881Z