Image Classification on CIFAR-100 (FedSPC Evaluation)
84.41Base Top-1 AccuracyFedBABU
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedBABUalpha (α)=0.01, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 84.41 | 87.33 | 2.92 | |
| FedPeralpha (α)=0.01, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 83.87 | 85.07 | 1.2 | |
| FedBABUalpha (α)=0.01, Backbone=VGG11, Communication rounds (r)=1002026.06 | 83.55 | 85.91 | 2.36 | |
| Dittoalpha (α)=0.01, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 83.03 | 86.16 | 3.13 | |
| Dittoalpha (α)=0.01, Backbone=VGG11, Communication rounds (r)=1002026.06 | 82.8 | 84.25 | 1.45 | |
| FedPeralpha (α)=0.01, Backbone=VGG11, Communication rounds (r)=1002026.06 | 82.13 | 83.33 | 1.2 | |
| LG-FedAvgalpha (α)=0.01, Backbone=VGG11, Communication rounds (r)=1002026.06 | 81.08 | 83.31 | 2.23 | |
| LG-FedAvgalpha (α)=0.01, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 79.35 | 81.05 | 1.7 | |
| FedBABUalpha (α)=0.1, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 78.83 | 81.04 | 2.21 | |
| FedBABUalpha (α)=0.1, Backbone=VGG11, Communication rounds (r)=1002026.06 | 76.62 | 78.46 | 1.84 | |
| FedRepalpha (α)=0.01, Backbone=VGG11, Communication rounds (r)=1002026.06 | 76.15 | 82.56 | 6.41 | |
| FedPeralpha (α)=0.1, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 75.17 | 76.58 | 1.41 | |
| Dittoalpha (α)=0.1, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 74.37 | 79.1 | 4.73 | |
| Dittoalpha (α)=0.1, Backbone=VGG11, Communication rounds (r)=1002026.06 | 73.57 | 76.79 | 3.22 | |
| FedPeralpha (α)=0.1, Backbone=VGG11, Communication rounds (r)=1002026.06 | 73.06 | 74.3 | 1.24 | |
| FedRepalpha (α)=0.01, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 72.31 | 84.51 | 12.2 | |
| FedRepalpha (α)=0.1, Backbone=VGG11, Communication rounds (r)=1002026.06 | 71.11 | 74.65 | 3.54 | |
| FedRepalpha (α)=0.1, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 69.48 | 77.16 | 7.68 | |
| Dittoalpha (α)=0.01, Backbone=ViT, Communication rounds (r)=1002026.06 | 68.49 | 70.51 | 2.02 | |
| FedBABUalpha (α)=1.0, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 68.18 | 71.8 | 3.62 | |
| LG-FedAvgalpha (α)=0.1, Backbone=VGG11, Communication rounds (r)=1002026.06 | 67.59 | 68.61 | 1.02 | |
| FedBABUalpha (α)=1.0, Backbone=VGG11, Communication rounds (r)=1002026.06 | 65.19 | 67.49 | 2.3 | |
| LG-FedAvgalpha (α)=0.1, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 64.76 | 66.41 | 1.65 | |
| Dittoalpha (α)=1.0, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 62.04 | 69.85 | 7.81 | |
| Dittoalpha (α)=1.0, Backbone=VGG11, Communication rounds (r)=1002026.06 | 60.05 | 65.14 | 5.09 | |
| FedRepalpha (α)=0.01, Backbone=ViT, Communication rounds (r)=1002026.06 | 59.52 | 65.63 | 6.11 | |
| FedPeralpha (α)=1.0, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 57.88 | 58.94 | 1.06 | |
| FedBABUalpha (α)=0.01, Backbone=ViT, Communication rounds (r)=1002026.06 | 57.66 | 59.49 | 1.83 | |
| LG-FedAvgalpha (α)=0.01, Backbone=ViT, Communication rounds (r)=1002026.06 | 57.22 | 58.59 | 1.37 | |
| Dittoalpha (α)=0.1, Backbone=ViT, Communication rounds (r)=1002026.06 | 56.52 | 58.75 | 2.23 | |
| FedPeralpha (α)=0.01, Backbone=ViT, Communication rounds (r)=1002026.06 | 56.21 | 58.07 | 1.86 | |
| FedPeralpha (α)=1.0, Backbone=VGG11, Communication rounds (r)=1002026.06 | 55.74 | 57.58 | 1.84 | |
| FedRepalpha (α)=1.0, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 54.84 | 60.63 | 5.79 | |
| FedRepalpha (α)=1.0, Backbone=VGG11, Communication rounds (r)=1002026.06 | 54.64 | 57.18 | 2.54 | |
| FedBABUalpha (α)=0.1, Backbone=ViT, Communication rounds (r)=1002026.06 | 51.13 | 53.63 | 2.5 | |
| FedRepalpha (α)=0.1, Backbone=ViT, Communication rounds (r)=1002026.06 | 48.71 | 53.96 | 5.25 | |
| FedPeralpha (α)=0.1, Backbone=ViT, Communication rounds (r)=1002026.06 | 47.74 | 50.41 | 2.67 | |
| LG-FedAvgalpha (α)=0.1, Backbone=ViT, Communication rounds (r)=1002026.06 | 47.19 | 48.63 | 1.44 | |
| FedBABUalpha (α)=1.0, Backbone=ViT, Communication rounds (r)=1002026.06 | 46.47 | 49.8 | 3.33 | |
| LG-FedAvgalpha (α)=1.0, Backbone=VGG11, Communication rounds (r)=1002026.06 | 43.28 | 45.09 | 1.81 | |
| Dittoalpha (α)=1.0, Backbone=ViT, Communication rounds (r)=1002026.06 | 40.03 | 46.18 | 6.15 | |
| LG-FedAvgalpha (α)=1.0, Backbone=ResNet-34, Communication rounds (r)=1002026.06 | 38.11 | 39.69 | 1.58 | |
| FedRepalpha (α)=1.0, Backbone=ViT, Communication rounds (r)=1002026.06 | 32.05 | 35.06 | 3.01 | |
| LG-FedAvgalpha (α)=1.0, Backbone=ViT, Communication rounds (r)=1002026.06 | 31.96 | 33.12 | 1.16 | |
| FedPeralpha (α)=1.0, Backbone=ViT, Communication rounds (r)=1002026.06 | 30.84 | 32.09 | 1.25 |