Object Recognition on CIFAR-100 N=10
67.9AccuracyFEDCCA
Evaluation results
| Method | Links | |
|---|---|---|
| FEDCCA#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 67.9 | |
| FEDSR#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 67.7 | |
| FEDREP#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 67.6 | |
| FEDAMP#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 64.5 | |
| FEDMC#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 64 | |
| FEDDAN#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 62.4 | |
| FEDDANN#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 62.3 | |
| FEDPROX#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 25.5 | |
| FEDAVG#CLASS/CLIENT (N)=10, Backbone=ResNet182026.01 | 25.1 |