Image Classification on CIFAR-10 (Custom Metrics: Best Acc., Comm., Comp.)
61.7Best AccuracyFedAvg-FNU
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedAvg-FNUC=3, Backbone=ResNet-182024.10 | 61.7 | 246 | 33.5 | |
| FedAvg-FNUC=2, Backbone=ResNet-182024.10 | 61.4 | 164 | 22.3 | |
| FedAvg-FNUC=1, Backbone=ResNet-182024.10 | 59.4 | 82.1 | 11.2 | |
| FedAvg-FedPartC=3, Backbone=ResNet-182024.10 | 59.2 | 36.7 | 24.6 | |
| FedAvg-FedPartC=2, Backbone=ResNet-182024.10 | 57.5 | 24.5 | 16.4 | |
| FedAvg-FedPartC=1, Backbone=ResNet-182024.10 | 53.5 | 12.2 | 8.19 |