Multi-class classification on TinyImageNet Dirichlet non-IID setting (test)
52.9Top-5 AccSuPerFed-LM
Evaluation Results
| Method | Links | |
|---|---|---|
| SuPerFed-LMconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 52.9 | |
| SuPerFed-MMconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 50.07 | |
| SuPerFed-MMconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 49.86 | |
| SuPerFed-MMconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 49.73 | |
| SuPerFed-LMconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 49.29 | |
| SuPerFed-LMconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 48.98 | |
| FedProxconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 48.97 | |
| FedAvgconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 48.9 | |
| FedAvgconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 48.9 | |
| SCAFFOLDconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 48.77 | |
| SCAFFOLDconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 48.27 | |
| FedProxconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 47.73 | |
| FedProxconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 47.37 | |
| FedAvgconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 46.61 | |
| SCAFFOLDconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 46.54 | |
| APFLconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 46.36 | |
| Dittoconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 43.84 | |
| Dittoconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 43.11 | |
| Dittoconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 41.98 | |
| APFLconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 34.74 | |
| APFLconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 34.23 | |
| FedPerconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 21.9 | |
| FedRepconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 18.67 | |
| LG-FedAvgconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 14.7 | |
| FedPerconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 11.1 | |
| LG-FedAvgconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 9.86 | |
| FedPerconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 9.63 | |
| LG-FedAvgconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 9.25 | |
| FedRepconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 9.23 | |
| FedRepconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 8.09 | |
| pFedMeconcentration (alpha)=10, # clients=200, Backbone=MobileNet2021.09 | 8.01 | |
| pFedMeconcentration (alpha)=100, # clients=200, Backbone=MobileNet2021.09 | 7.69 | |
| pFedMeconcentration (alpha)=1, # clients=200, Backbone=MobileNet2021.09 | 6.05 |