Table 1. Studies using MTLa or privacy-preserving approaches for various applications.
| Study | Application | Signal | MTL | FLb | DPc | Multimodality |
|---|---|---|---|---|---|---|
| Zhao et al [21] | Network anomaly detection | Network signals | ✓ | ✓ | ||
| Smith et al [22] | Activity recognition | Acceleration, gyroscope | ✓ | ✓ | ✓ | |
| Somandepalli et al [16] | Affect recognition | Speech, video, text | ✓ | ✓ | ||
| Sang et al [7] | Affect recognition | Face images | ✓ | |||
| Shome and Kar [23] | Affect recognition | Face images | ✓ | |||
| Chhikara et al [19] | Affect recognition | Face and speech | ✓ | ✓ | ||
| Feng et al [24] | Affect recognition | Speech | ✓ | ✓ | ||
| Can and Ersoy [15] | Affect recognition | PPGd | ✓ | |||
| Nandi and Xhafa [20] | Affect recognition | EEGe, EDAf | ✓ | ✓ | ||
| Wang et al [18] | Biometric | Face speaker |
✓ | ✓ | ✓ | |
| This study | Affect recognition | PPG, EDA, ACCg, STh | ✓ | ✓ | ✓ | ✓ |
MTL: multitask learning.
FL: federated learning.
DP: differential privacy.
PPG: photoplethysmography.
EEG: electroencephalography.
EDA: electrodermal activity.
ACC: acceleration.
ST: skin temperature.