Image Classification on CIFAR-10 (test) (Communication & Speedup)
131Communication RoundsA-FedPD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| A-FedPDTarget accuracy=81%, Backbone=LeNet2024.09 | 131 | 3.82 | |
| FedDynTarget accuracy=81%, Backbone=LeNet2024.09 | 156 | 3.21 | |
| A-FedPDSAMTarget accuracy=81%, Backbone=LeNet2024.09 | 156 | 3.21 | |
| FedSpeedTarget accuracy=81%, Backbone=LeNet2024.09 | 170 | 2.94 | |
| SCAFFOLDTarget accuracy=81%, Backbone=LeNet2024.09 | 207 | 2.42 | |
| A-FedPDSAMTarget accuracy=83.5%, Backbone=LeNet2024.09 | 218 | 2.14 | |
| A-FedPDTarget accuracy=83.5%, Backbone=LeNet2024.09 | 252 | 1.85 | |
| FedSpeedTarget accuracy=83.5%, Backbone=LeNet2024.09 | 268 | 1.74 | |
| FedSAMTarget accuracy=81%, Backbone=LeNet2024.09 | 345 | 1.45 | |
| FedDynTarget accuracy=83.5%, Backbone=LeNet2024.09 | 355 | 1.31 | |
| SCAFFOLDTarget accuracy=83.5%, Backbone=LeNet2024.09 | 468 | 1 | |
| FedAvgTarget accuracy=81%, Backbone=LeNet2024.09 | 501 | 1 |