Image Classification on Fashion-MNIST (Accuracy)
93.89AccuracyResNet20-Wide†
Evaluation Results
| Method | Links | |
|---|---|---|
| ResNet20-Wide†Type=BP, Arch.=CNN, Reproduced=true2026.05 | 93.89 | |
| HCL-FFType=FF, Arch.=CNN2026.05 | 93.87 | |
| ResNet20†Type=BP, Arch.=CNN, Reproduced=true2026.05 | 93.34 | |
| DeeperForwardType=FF, Arch.=CNN2026.05 | 93.13 | |
| FBPArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=0.1, Transport Freq. Weight=0.1, Epochs=163 ± 402025.05 | 92.77 | |
| BPArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=1, Epochs=152 ± 572025.05 | 92.55 | |
| CwCompType=FF, Arch.=CNN2026.05 | 92.31 | |
| FBPArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=0.1, Transport Freq. Weight=0.1, Epochs=144 ± 552025.05 | 91.58 | |
| BPArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=1, Epochs=106 ± 302025.05 | 91.46 | |
| TrifectaType=FF, Arch.=CNN2026.05 | 91.44 | |
| DTPType=non-BP, Arch.=CNN2026.05 | 90.91 | |
| rec-LRAType=non-BP, Arch.=CNN2026.05 | 88.13 | |
| sFAArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=152 ± 482025.05 | 88.08 | |
| SHARE2023.06 | 87.9 | |
| FedRO2023.06 | 87.4 | |
| FedAvg2023.06 | 87.2 | |
| sFAArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=127 ± 412025.05 | 86.55 | |
| FedProx2023.06 | 86.3 | |
| SSArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=36 ± 02025.05 | 10 | |
| SSArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=56 ± 152025.05 | 9.37 |