Image Classification on CIFAR-10 Practical Heterogeneity
89.78AccuracypFedMe
Evaluation Results
| Method | Links | |
|---|---|---|
| pFedMeHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 89.78 | |
| FedAMPHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 89.14 | |
| FedKT-CSDHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=1 round (synthetic pretraining) + local fine-tuning2026.07 | 88.78 | |
| APPLEHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 88.57 | |
| Per-FedAvgHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 87.93 | |
| FedPHPHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 87.69 | |
| FedFomoHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 87.54 | |
| PartialFedHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 87.29 | |
| FedAvgHeterogeneity Type=Practical, Backbone=ResNet-18, Number of clients=20, Participation=Full, Communication rounds=502026.07 | 79.68 |