Game-Theoretic Optimized Federated Learning for Heterogeneous IoT Object Detection.
- DOI
- 10.3390/s26144420
- Published
- 2026 Jul 12
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26144420,
title = {Game-Theoretic Optimized Federated Learning for Heterogeneous IoT Object Detection.},
author = {Wang Z and Chen J},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26144420},
url = {https://doi.org/10.3390/s26144420}
}RIS
TY - JOUR TI - Game-Theoretic Optimized Federated Learning for Heterogeneous IoT Object Detection. AU - Wang Z AU - Chen J PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26144420 UR - https://doi.org/10.3390/s26144420 ER -
APA
Z, W., & J, C. (2026). Game-Theoretic Optimized Federated Learning for Heterogeneous IoT Object Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26144420
Source records
- pubmed · retrieved 2026-09-26T18:16:06.030Z