Image Classification on MNIST alpha=0.1 (test)
86.3AccuracyRegretNet
Evaluation results
| Method | Links | |
|---|---|---|
| RegretNetNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 86.3 | |
| DM-RegretNetNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 85.8 | |
| No-DP FL (upper bound)Number of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 85.7 | |
| VCGNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 85.5 | |
| PACNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 84.9 | |
| MFG-PricingNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 84.8 | |
| MFG-RegretNetNumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 84.8 | |
| CSRANumber of seeds=5, K (last rounds)=5, Data Heterogeneity (alpha)=0.12026.03 | 80.2 |