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Image Classification on CIFAR10 Non-IID 1

86.28AccuracyFedAvg
48.767258.506168.24577.9839Mar 16, 2026Mar 26, 2026Apr 5, 2026Apr 16, 2026Apr 26, 2026May 6, 2026May 17, 2026

Evaluation results

MethodLinks
FedAvgModel=ResNet10, Nc=100, FLOPs=4.40 × 10^8, Memory (MB)=19.61702026.0386.2811.38
FedMUDModel=ResNet10, Nc=100, FLOPs=4.40 × 10^8, Memory (MB)=19.61702026.0384.2210.78
FedBNNModel=ResNet10, Nc=100, FLOPs=1.11 × 10^7, Memory (MB)=0.61302026.0382.8482.84
FedBATModel=ResNet10, Nc=100, FLOPs=4.40 × 10^8, Memory (MB)=19.61702026.0372.810.94
FedBNNModel=ConvNeXt-Tiny, Nc=100, FLOPs=6.07 × 10^7, Memory (MB)=3.48872026.0367.0867.08
FedBATModel=ConvNeXt-Tiny, Nc=100, FLOPs=2.98 × 10^9, Memory (MB)=111.6402026.0364.2221.42
FedAvgModel=ConvNeXt-Tiny, Nc=100, FLOPs=2.98 × 10^9, Memory (MB)=111.6402026.0360.221.64
BESplit-GSFL Setting=n=100, k=70, κ=12026.0559.82—
BESplit-ASFL Setting=n=100, k=70, κ=12026.0557.98—
FedRDNSFL Setting=n=100, k=70, κ=12026.0556.89—
FAVDSFL Setting=n=100, k=70, κ=12026.0556.13—
Fed-MoESFL Setting=n=100, k=70, κ=12026.0554.79—
FedMUDModel=ConvNeXt-Tiny, Nc=100, FLOPs=2.98 × 10^9, Memory (MB)=111.6402026.0354.335.44
FedDynSFL Setting=n=100, k=70, κ=12026.0554.02—
ParallelSFLSFL Setting=n=100, k=70, κ=12026.0553.6—
HASFLSFL Setting=n=100, k=70, κ=12026.0553.6—
MergeSFLSFL Setting=n=100, k=70, κ=12026.0553.16—
FedProxSFL Setting=n=100, k=70, κ=12026.0550.71—
FedAvgSFL Setting=n=100, k=70, κ=12026.0550.55—
SplitFedSFL Setting=n=100, k=70, κ=12026.0550.21—