| BGLs | blood glucose levels |
| PPG | photoplethysmography |
| DNNs | deep neural networks |
| ML | machine learning |
| FL | federated learning |
| CWT | continuous wavelet transform |
| ACBS | adaptive cycle-based segmentation |
| PSO | particle swarm optimization |
| RMSE | root mean square error |
| CEGA | Clarke error grid analysis |
| MvCFT | multi-view cross-fusion transformer |
| MSWF | multi-size weighted fitting |
| CVFF | cross-view feature fusion |
| LSTM | long short-term memory |
| PTQ | post-training quantization |
| QAT | quantization aware training |
| IMF | intrinsic mode functions |
| EMD | empirical mode decomposition |
| MAE | mean absolute error |
| MSE | mean square error |
| EDA | electrodermal activity |
| PLS | partial least squares |
| PCR | principal component regression |
| RFR | random forest regression |
| SVR | support vector regression |
| SVM | support vector machine |
| RF | random forest |
| BPNN | back-propagation neural network |
| PCA | principal component analysis |
| ICWT | inverse continuous wavelet transform |
| FA | federated averaging |
| MTL | multi-task learning |
| CCE | categorical cross-entropy |
| MARD | mean absolute relative difference |
| CNN | convolutional neural network |
| HRV | heart rate variability |
| IPI | inter-pulse interval |
| AUC | area under the curve |
| PSD | power spectral density |
| FD | fractal dimension |