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Computational Efficiency Analysis on General Empirical Evaluation
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0.1414
Latency (ms/sample)
None
-0.977416
6.574592
14.1266
21.678608
May 19, 2025
Latency (ms/sample)
Inference Overhead (x Baseline)
Training Overhead (x Baseline)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Latency (ms/sample)
Inference Overhead (x Baseline)
Training Overhead (x Baseline)
None
Retraining Required=No
2025.05
0.1414
1
1
AdvReg
Retraining Required=Yes
2025.05
0.1414
1
1
RelaxLoss
Retraining Required=Yes
2025.05
0.1414
1
1
SELENA
Retraining Required=Yes
2025.05
0.1414
1
2.61
DynaNoise
Retraining Required=No
2025.05
0.1432
1.01
1
HAMP
Retraining Required=No
2025.05
0.2819
2
1
MemGuard
Retraining Required=No
2025.05
28.1118
198.8
1.66
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