Image Classification on Emnist-Digits IID D
99.43Accuracy (Convergence)FedACT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedACTModel Architecture=LeNet-5, Local epochs=5, Mini-batch size=64, Target Accuracy=0.992026.03 | 99.43 | 3.92 | |
| MJ-FLModel Architecture=LeNet-5, Local epochs=5, Mini-batch size=64, Target Accuracy=0.992026.03 | 99.37 | 5.18 | |
| GeneticModel Architecture=LeNet-5, Local epochs=5, Mini-batch size=64, Target Accuracy=0.992026.03 | 99.31 | 6.42 | |
| RandomModel Architecture=LeNet-5, Local epochs=5, Mini-batch size=64, Target Accuracy=0.992026.03 | 99.24 | 15.13 | |
| GreedyModel Architecture=LeNet-5, Local epochs=5, Mini-batch size=64, Target Accuracy=0.992026.03 | 99 | 17.25 |