Image Classification on Cifar-10 Non-IID (Convergence Accuracy & Time)
57.6Convergence AccuracyFedACT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedACTModel Architecture=VGG-16, Local epochs=5, Mini-batch size=30, Target Accuracy=0.552026.03 | 57.6 | 286.4 | |
| MJ-FLModel Architecture=VGG-16, Local epochs=5, Mini-batch size=30, Target Accuracy=0.552026.03 | 56 | 464.7 | |
| RandomModel Architecture=VGG-16, Local epochs=5, Mini-batch size=30, Target Accuracy=0.552026.03 | 55 | 2,471.4 | |
| GeneticModel Architecture=VGG-16, Local epochs=5, Mini-batch size=30, Target Accuracy=0.552026.03 | 54 | 1,168.5 | |
| GreedyModel Architecture=VGG-16, Local epochs=5, Mini-batch size=30, Target Accuracy=0.552026.03 | 44 | — |