Table 9 Comparative performance of DP-RBFN vs. DP-MLP models (\(\varepsilon = 0.5\)).
Model | Accuracy (%) | Std. dev | Latency (ms) | Throughput | Accuracy loss |
|---|---|---|---|---|---|
DP-RBFN | 93.21 | ±1.12 | 58.3 | 17.1 | 2.8% |
DP-MLP | 91.87 | ±1.34 | 82.5 | 11.3 | 4.1% |
Model | Accuracy (%) | Std. dev | Latency (ms) | Throughput | Accuracy loss |
|---|---|---|---|---|---|
DP-RBFN | 93.21 | ±1.12 | 58.3 | 17.1 | 2.8% |
DP-MLP | 91.87 | ±1.34 | 82.5 | 11.3 | 4.1% |