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Image Classification on Fashion-MNIST (Accuracy)

93.89AccuracyResNet20-Wide†
5.989228.809651.6374.4504Jun 22, 2023Dec 16, 2023Jun 11, 2024Dec 6, 2024Jun 2, 2025Nov 27, 2025May 24, 2026

Evaluation results

MethodLinks
ResNet20-Wide†Type=BP, Arch.=CNN, Reproduced=true2026.0593.89
HCL-FFType=FF, Arch.=CNN2026.0593.87
ResNet20†Type=BP, Arch.=CNN, Reproduced=true2026.0593.34
DeeperForwardType=FF, Arch.=CNN2026.0593.13
FBPArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=0.1, Transport Freq. Weight=0.1, Epochs=163 ± 402025.0592.77
BPArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=1, Epochs=152 ± 572025.0592.55
CwCompType=FF, Arch.=CNN2026.0592.31
FBPArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=0.1, Transport Freq. Weight=0.1, Epochs=144 ± 552025.0591.58
BPArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=1, Epochs=106 ± 302025.0591.46
TrifectaType=FF, Arch.=CNN2026.0591.44
DTPType=non-BP, Arch.=CNN2026.0590.91
rec-LRAType=non-BP, Arch.=CNN2026.0588.13
sFAArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=152 ± 482025.0588.08
SHARE2023.0687.9
FedRO2023.0687.4
FedAvg2023.0687.2
sFAArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=127 ± 412025.0586.55
FedProx2023.0686.3
SSArchitecture=ResNet-26, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=36 ± 02025.0510
SSArchitecture=ResNet-18, Coding Scheme=rate-coded, Transport Freq. Sign=1, Transport Freq. Weight=0, Epochs=56 ± 152025.059.37