Wang, G., Qi, Q., Yu, H., Han, R., Bai, L., & Choi, J. (2026). AdaDQ-KD: An Adaptive Dithering Quantization With Knowledge Distillation in Privacy-Preserving Federated Learning. IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol., 75(8), 17479. https://doi.org/10.1109/TVT.2026.3678103
Παραπομπή σε μορφή Chicago (17η εκδ.)Wang, G., Q. Qi, H. Yu, R. Han, L. Bai, και J. Choi. "AdaDQ-KD: An Adaptive Dithering Quantization With Knowledge Distillation in Privacy-Preserving Federated Learning." IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol. 75, no. 8 (2026): 17479. https://doi.org/10.1109/TVT.2026.3678103.
Παραπομπή σε μορφή MLA (9th εκδ.)Wang, G., et al. "AdaDQ-KD: An Adaptive Dithering Quantization With Knowledge Distillation in Privacy-Preserving Federated Learning." IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol., vol. 75, no. 8, 2026, p. 17479, https://doi.org/10.1109/TVT.2026.3678103.