Image Classification on CIFAR-100 (test) (System Efficiency Metrics)
123Communication RoundsA-FedPD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| A-FedPDTarget accuracy=40%, Backbone=LeNet2024.09 | 123 | 6.27 | |
| A-FedPDSAMTarget accuracy=40%, Backbone=LeNet2024.09 | 126 | 6.12 | |
| SCAFFOLDTarget accuracy=40%, Backbone=LeNet2024.09 | 162 | 4.76 | |
| FedDynTarget accuracy=40%, Backbone=LeNet2024.09 | 173 | 4.46 | |
| A-FedPDSAMTarget accuracy=49%, Backbone=LeNet2024.09 | 220 | 3.07 | |
| FedSpeedTarget accuracy=40%, Backbone=LeNet2024.09 | 222 | 3.47 | |
| A-FedPDTarget accuracy=49%, Backbone=LeNet2024.09 | 303 | 2.23 | |
| FedSpeedTarget accuracy=49%, Backbone=LeNet2024.09 | 421 | 1.61 | |
| FedDynTarget accuracy=49%, Backbone=LeNet2024.09 | 495 | 1.36 | |
| FedSAMTarget accuracy=40%, Backbone=LeNet2024.09 | 572 | 1.34 | |
| SCAFFOLDTarget accuracy=49%, Backbone=LeNet2024.09 | 677 | 1 | |
| FedAvgTarget accuracy=40%, Backbone=LeNet2024.09 | 772 | 1 |