Image Classification on FEMNIST
92.56AccuracyTITAN-FedAnil+
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| TITAN-FedAnil+2026.06 | 92.56 | — | — | 91 | — | 92 | — | — | |
| FedXDSvariant=LRP2026.06 | 89.03 | — | — | — | — | — | — | — | |
| FedFed2026.06 | 88.28 | — | — | — | — | — | — | — | |
| IFCAk=4, N=400, Setup=CFL2025.10 | 88.2 | — | — | — | — | — | — | — | |
| FedFTG2026.06 | 87.88 | — | — | — | — | — | — | — | |
| FedSAM2026.06 | 87.56 | — | — | — | — | — | — | — | |
| FedDISCO2026.06 | 87.29 | — | — | — | — | — | — | — | |
| DFCA-GIk=4, N=400, Setup=DFL2025.10 | 87.1 | — | — | — | — | — | — | — | |
| FedDyn2026.06 | 86.45 | — | — | — | — | — | — | — | |
| DFCA-LIk=4, N=400, Setup=DFL2025.10 | 86.4 | — | — | — | — | — | — | — | |
| FedGen2026.06 | 86.37 | — | — | — | — | — | — | — | |
| FedAux2026.06 | 85.94 | — | — | — | — | — | — | — | |
| FedProx2026.06 | 85.66 | — | — | — | — | — | — | — | |
| FedDF2026.06 | 85.28 | — | — | — | — | — | — | — | |
| FedAvg2026.06 | 84.71 | — | — | — | — | — | — | — | |
| SCAFFOLD2026.06 | 84.24 | — | — | — | — | — | — | — | |
| PINAepsilon=∞2026.04 | 83.7 | — | — | — | — | — | — | — | |
| PINAepsilon=82026.04 | 82.5 | — | — | — | — | — | — | — | |
| PINAepsilon=22026.04 | 82.3 | — | — | — | — | — | — | — | |
| IFCAepsilon=∞2026.04 | 81.7 | — | — | — | — | — | — | — | |
| Invariant DropoutSub-model fraction (r)=0.952023.07 | 81.1 | 0.3 | — | — | — | — | — | — | |
| FedAvgepsilon=∞2026.04 | 81.1 | — | — | — | — | — | — | — | |
| FedProxepsilon=∞, μ=12026.04 | 81 | — | — | — | — | — | — | — | |
| Invariant DropoutSub-model fraction (r)=0.852023.07 | 80.9 | 0.1 | — | — | — | — | — | — | |
| Invariant DropoutSub-model fraction (r)=0.752023.07 | 80.8 | 0.2 | — | — | — | — | — | — | |
| FedProxepsilon=∞, μ=02026.04 | 80.8 | — | — | — | — | — | — | — | |
| Random DropoutSub-model fraction (r)=0.952023.07 | 80.6 | 0.1 | — | — | — | — | — | — | |
| Ordered DropoutSub-model fraction (r)=0.952023.07 | 80.6 | 0.2 | — | — | — | — | — | — | |
| Random DropoutSub-model fraction (r)=0.852023.07 | 80.5 | 0.2 | — | — | — | — | — | — | |
| Ordered DropoutSub-model fraction (r)=0.852023.07 | 80.5 | 0.2 | — | — | — | — | — | — | |
| Ordered DropoutSub-model fraction (r)=0.752023.07 | 80.4 | 0.2 | — | — | — | — | — | — | |
| FedNovaepsilon=∞2026.04 | 80.4 | — | — | — | — | — | — | — | |
| Random DropoutSub-model fraction (r)=0.752023.07 | 80.3 | 0.2 | — | — | — | — | — | — | |
| Ordered DropoutSub-model fraction (r)=0.652023.07 | 80.3 | 0.1 | — | — | — | — | — | — | |
| Invariant DropoutSub-model fraction (r)=0.652023.07 | 80.3 | 0.4 | — | — | — | — | — | — | |
| Invariant DropoutSub-model fraction (r)=0.52023.07 | 80.1 | 0.3 | — | — | — | — | — | — | |
| FedNovaepsilon=82026.04 | 80 | — | — | — | — | — | — | — | |
| Ordered DropoutSub-model fraction (r)=0.52023.07 | 79.7 | 0.3 | — | — | — | — | — | — | |
| FedProxepsilon=8, μ=12026.04 | 79.5 | — | — | — | — | — | — | — | |
| FedNovaepsilon=22026.04 | 79.5 | — | — | — | — | — | — | — | |
| FedAvgepsilon=82026.04 | 79.4 | — | — | — | — | — | — | — | |
| FedProxepsilon=2, μ=12026.04 | 79.4 | — | — | — | — | — | — | — | |
| Random DropoutSub-model fraction (r)=0.652023.07 | 79.3 | 0.5 | — | — | — | — | — | — | |
| FedProxepsilon=8, μ=02026.04 | 79.3 | — | — | — | — | — | — | — | |
| Random DropoutSub-model fraction (r)=0.52023.07 | 79.2 | 0.3 | — | — | — | — | — | — | |
| FedAvgepsilon=22026.04 | 79.2 | — | — | — | — | — | — | — | |
| FedProxepsilon=2, μ=02026.04 | 79.2 | — | — | — | — | — | — | — | |
| Baseline2026.06 | 78.4 | — | — | — | — | — | — | — | |
| IFCAepsilon=82026.04 | 5.5 | — | — | — | — | — | — | — | |
| IFCAepsilon=22026.04 | 4.6 | — | — | — | — | — | — | — | |
| ChismeComparison Baseline=FL, CN=1.0, RN=1.02025.05 | — | — | — | — | — | — | 1.48 | -17.33 | |
| ChismeComparison Baseline=FLIC, CN=1.0, RN=1.02025.05 | — | — | — | — | — | — | 1.44 | -14.56 | |
| ChismeComparison Baseline=DFL, CN=1.0, RN=1.02025.05 | — | — | — | — | — | — | 1.47 | -17.63 | |
| ChismeComparison Baseline=GL, CN=1.0, RN=1.02025.05 | — | — | — | — | — | — | 1.59 | -18.96 | |
| ChismeComparison Baseline=FL, CN=0.5, RN=0.52025.05 | — | — | — | — | — | — | 1.7 | -19.43 | |
| ChismeComparison Baseline=FLIC, CN=0.5, RN=0.52025.05 | — | — | — | — | — | — | 1.8 | -20.16 | |
| ChismeComparison Baseline=DFL, CN=0.5, RN=0.52025.05 | — | — | — | — | — | — | 1.34 | -18.4 | |
| ChismeComparison Baseline=GL, CN=0.5, RN=0.52025.05 | — | — | — | — | — | — | 1.68 | -20.29 | |
| FedAvgClient-side Computation=Local training, Communication=Model param, Server-side Computation=Aggregation2025.06 | — | — | -3.854 | -3.9694 | — | — | — | — | |
| FedAvgInference strategy=Classifier-head inference, n (classes per client)=32026.06 | — | — | — | — | 33.6 | — | — | — | |
| FedAvgInference strategy=Classifier-head inference, n (classes per client)=42026.06 | — | — | — | — | 43.35 | — | — | — | |
| FedAvgInference strategy=Classifier-head inference, n (classes per client)=52026.06 | — | — | — | — | 47.26 | — | — | — | |
| FedMPSInference strategy=Classifier-head inference, n (classes per client)=32026.06 | — | — | — | — | 92.65 | — | — | — | |
| FedMPSInference strategy=Classifier-head inference, n (classes per client)=42026.06 | — | — | — | — | 91.1 | — | — | — | |
| FedMPSInference strategy=Classifier-head inference, n (classes per client)=52026.06 | — | — | — | — | 90.15 | — | — | — | |
| FedMPSInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=32026.06 | — | — | — | — | 92.67 | — | — | — | |
| FedMPSInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=42026.06 | — | — | — | — | 91.06 | — | — | — | |
| FedMPSInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=52026.06 | — | — | — | — | 90.11 | — | — | — | |
| FedOptClient-side Computation=Local training, Proximal term, Communication=Model param, Proximal term, Server-side Computation=Aggregation, Model optimization2025.06 | — | — | -3.8622 | -3.9706 | — | — | — | — | |
| FedProtoInference strategy=Classifier-head inference, n (classes per client)=32026.06 | — | — | — | — | 92.22 | — | — | — | |
| FedProtoInference strategy=Classifier-head inference, n (classes per client)=42026.06 | — | — | — | — | 90.81 | — | — | — | |
| FedProtoInference strategy=Classifier-head inference, n (classes per client)=52026.06 | — | — | — | — | 90.06 | — | — | — | |
| FedProtoInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=32026.06 | — | — | — | — | 92.19 | — | — | — | |
| FedProtoInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=42026.06 | — | — | — | — | 90.68 | — | — | — | |
| FedProtoInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=52026.06 | — | — | — | — | 89.56 | — | — | — | |
| FedProxClient-side Computation=Local training, Proximal term, Communication=Model param, Server-side Computation=Aggregation2025.06 | — | — | -3.8098 | -3.9093 | — | — | — | — | |
| FedRefClient-side Computation=Local training, Communication=Model param, Cost value, Server-side Computation=Aggregation, Bayesian fine-tuning2025.06 | — | — | -3.9627 | -4.0823 | — | — | — | — | |
| FedSAPInference strategy=Classifier-head inference, n (classes per client)=32026.06 | — | — | — | — | 93.01 | — | — | — | |
| FedSAPInference strategy=Classifier-head inference, n (classes per client)=42026.06 | — | — | — | — | 90.71 | — | — | — | |
| FedSAPInference strategy=Classifier-head inference, n (classes per client)=52026.06 | — | — | — | — | 89.58 | — | — | — | |
| FedSAPInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=32026.06 | — | — | — | — | 93.13 | — | — | — | |
| FedSAPInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=42026.06 | — | — | — | — | 90.83 | — | — | — | |
| FedSAPInference strategy=Prototype-based inference (nearest centroid), n (classes per client)=52026.06 | — | — | — | — | 89.46 | — | — | — |