Image Classification on Emnist-Letters Non-IID L
90AccuracyRandom
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RandomModel Architecture=CNN, Local epochs=5, Mini-batch size=10, Target Accuracy=0.802026.03 | 90 | 43.61 | |
| FedACTModel Architecture=CNN, Local epochs=5, Mini-batch size=10, Target Accuracy=0.802026.03 | 90 | 14.82 | |
| MJ-FLModel Architecture=CNN, Local epochs=5, Mini-batch size=10, Target Accuracy=0.802026.03 | 88.7 | 20.73 | |
| GreedyModel Architecture=CNN, Local epochs=5, Mini-batch size=10, Target Accuracy=0.802026.03 | 84 | 97.33 | |
| GeneticModel Architecture=CNN, Local epochs=5, Mini-batch size=10, Target Accuracy=0.802026.03 | 80 | 28.08 |