Image Classification on CIFAR-100-C CS-3 1.0 (test)
47.33Mean AccuracyDynACL-AIR
Evaluation Results
| Method | Links | |
|---|---|---|
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 47.33 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 47.25 | |
| DynACLPre-training=DynACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 46.71 | |
| ACLPre-training=ACL, Finetuning procedure=AFF, Backbone=ResNet-182023.04 | 45.93 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 41.54 | |
| ACL-AIRPre-training=ACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 40.7 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 39.21 | |
| ACLPre-training=ACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 38.9 | |
| DynACLPre-training=DynACL, Finetuning procedure=SLF, Backbone=ResNet-182023.04 | 38.08 | |
| FedAvg + SpecGradFilterBackbone=ResNet-20, Severity Level=3, Number of Clients=100, Client Participation Ratio (R)=0.12026.07 | 37.04 | |
| DynACL-AIRPre-training=DynACL-AIR, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 36.48 | |
| DynACLPre-training=DynACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 35.61 | |
| ACLPre-training=ACL, Finetuning procedure=ALF, Backbone=ResNet-182023.04 | 35.13 | |
| FedDynBackbone=ResNet-20, Severity Level=3, Number of Clients=100, Client Participation Ratio (R)=0.12026.07 | 31.83 | |
| FedAvgBackbone=ResNet-20, Severity Level=3, Number of Clients=100, Client Participation Ratio (R)=0.12026.07 | 26.18 | |
| SCAFFOLDBackbone=ResNet-20, Severity Level=3, Number of Clients=100, Client Participation Ratio (R)=0.12026.07 | 25.95 | |
| FedCMBackbone=ResNet-20, Severity Level=3, Number of Clients=100, Client Participation Ratio (R)=0.12026.07 | 23.45 |