Image Classification on CINIC10 (Accuracy, Energy, Speed)
69.09AccuracyFedGCS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedGCSData Distribution=IID, Model Architecture=VGG162026.06 | 69.09 | — | — | |
| EvoCSFLData Distribution=IID, Model Architecture=VGG162026.06 | 68.76 | 31.5 | 2.7 | |
| FedRankData Distribution=IID, Model Architecture=VGG162026.06 | 68.58 | 52.9 | 2.01 | |
| TiFLData Distribution=IID, Model Architecture=VGG162026.06 | 67.41 | 46.1 | 2.08 | |
| OortData Distribution=IID, Model Architecture=VGG162026.06 | 67.38 | 48 | 1.87 | |
| AFLData Distribution=IID, Model Architecture=VGG162026.06 | 66.75 | 74.3 | 1.31 | |
| FedAvgData Distribution=IID, Model Architecture=VGG162026.06 | 66.01 | 100 | 1 | |
| EvoCSFLData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 48.25 | 33.9 | 2.51 | |
| FedRankData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 47.07 | 55.2 | 1.75 | |
| FedGCSData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 46.27 | — | — | |
| OortData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 45.15 | 46.1 | 1.95 | |
| TiFLData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 42.1 | 51.7 | 1.88 | |
| AFLData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 40.88 | 65.6 | 1.45 | |
| FedAvgData Distribution=Non-IID (δ=0.1), Model Architecture=VGG162026.06 | 39.07 | 100 | 1 |