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ResearchFormerly WizWand

Image Classification on CIFAR-10 standard (test) (Top-1 Accuracy Breakdown)

87.09Max Top-1 AccFIPA
41.340453.217765.09576.9723Jan 20, 2026
Updated 8mo ago

Evaluation results

MethodLinks
FIPAModel=ResNet-20, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0187.0986.7
FedAvgModel=ResNet-20, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0185.9485.12
FIPAModel=ResNet-20, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0185.0384.42
FedAvgModel=ResNet-20, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0183.581.98
FIPAModel=CNN-207k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0178.9978.67
FIPAModel=CNN-207k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0178.477.39
FedAvgModel=CNN-207k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0177.7576.31
FedAvgModel=CNN-207k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0176.2173.8
FIPAModel=ResNet-20, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0175.9874.44
FIPAModel=CNN-207k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0175.3673.93
FedAvgModel=ResNet-20, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0173.4969.25
FedAvgModel=CNN-207k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0172.6268.53
FIPAModel=CNN-207k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0172.5871.03
FIPAModel=CNN-23k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0169.2968.77
FIPAModel=ResNet-20, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0168.1964.8
FedAvgModel=CNN-207k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0168.0765.14
FIPAModel=CNN-23k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0167.2365.99
FedAvgModel=CNN-23k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.016765.39
FIPAModel=CNN-207k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0165.862.53
FIPAModel=CNN-23k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0165.3363.58
FedAvgModel=CNN-23k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0164.5260.54
FIPAModel=CNN-23k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0162.8959.93
FIPAModel=CNN-8k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0162.1660.89
FedAvgModel=CNN-23k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0161.9456.11
FedAvgModel=ResNet-20, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0161.4556.66
FIPAModel=CNN-23k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0160.6656.49
FedAvgModel=CNN-8k, Alpha=0.6, Warmup rounds=1000, Refinement rounds=152026.0160.0657.13
FIPAModel=CNN-8k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0159.8358.56
FIPAModel=CNN-8k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0158.7456.33
FedAvgModel=CNN-207k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0158.4553.14
FedAvgModel=CNN-23k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0157.4652.32
FedAvgModel=CNN-8k, Alpha=0.3, Warmup rounds=1000, Refinement rounds=152026.0157.3752.63
FIPAModel=CNN-8k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0156.6853.05
FIPAModel=CNN-8k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0154.0850.42
FedAvgModel=CNN-8k, Alpha=0.1, Warmup rounds=1000, Refinement rounds=152026.0154.0848.16
FedAvgModel=CNN-23k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0151.1245.63
FIPAModel=ResNet-20, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0151.0347.17
FedAvgModel=CNN-8k, Alpha=0.05, Warmup rounds=1000, Refinement rounds=152026.0147.7644.41
FedAvgModel=CNN-8k, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0144.0938.8
FedAvgModel=ResNet-20, Alpha=0.01, Warmup rounds=1000, Refinement rounds=152026.0143.136.17