Image Classification on FMNIST (Robustness Metrics)
84.842Accuracy (IID)FEDADAVR-QUANT
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| FEDADAVR-QUANTOPTIMISER=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 84.842 | 82.479 | 83.256 | 67.758 | 76.298 | 79.775 | — | — | |
| FEDADAVR-QUANTOPTIMISER=YOGI, Server learning rate (ηs)=0.012026.01 | 84.505 | 82.265 | 83.013 | 67.61 | 72.14 | 78.209 | — | — | |
| FEDADAVROPTIMISER=YOGI, Server learning rate (ηs)=0.012026.01 | 84.313 | 83.488 | 82.667 | 70.351 | 75.262 | 78.969 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 84.312 | 80.538 | 82.487 | 64.235 | 71.664 | 78.029 | — | — | |
| FEDADAVROPTIMISER=ADAM, Server learning rate (ηs)=0.012026.01 | 84.133 | 83.317 | 73.935 | 69.601 | 73.89 | 78.187 | — | — | |
| FEDADAVROPTIMISER=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 84.083 | 84.061 | 83.201 | 71.971 | 74.126 | 77.967 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAM, Server learning rate (ηs)=0.0012026.01 | 83.627 | 71.554 | 73.351 | 64.843 | 65.539 | 71.405 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAM, Server learning rate (ηs)=0.0052026.01 | 83.627 | 80.229 | 81.663 | 66.374 | 72.876 | 77.43 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAM, Server learning rate (ηs)=0.012026.01 | 83.286 | 83.372 | 82.759 | 67.422 | 74.908 | 80.083 | — | — | |
| FEDADAVROPTIMISER=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 83.068 | 80.808 | 82.506 | 69.568 | 73.317 | 77.437 | — | — | |
| FEDADAVR-QUANTOPTIMISER=YOGI, Server learning rate (ηs)=0.0052026.01 | 83.067 | 80.675 | 80.393 | 69.802 | 72.447 | 77.48 | — | — | |
| FEDADAVROPTIMISER=ADAM, Server learning rate (ηs)=0.0052026.01 | 82.967 | 81.798 | 79.051 | 70.451 | 71.88 | 77.6 | — | — | |
| FEDADAVROPTIMISER=YOGI, Server learning rate (ηs)=0.0052026.01 | 82.278 | 80.929 | 81.844 | 68.52 | 75.177 | 77.557 | — | — | |
| FEDADAVROPTIMISER=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 80.631 | 77.4 | 77.081 | 66.62 | 72.212 | 73.21 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 80.323 | 78.173 | 77.643 | 64.225 | 71.448 | 75.407 | — | — | |
| FEDVARPServer learning rate (ηs)=1.02026.01 | 79.861 | 77.533 | 77.159 | 59.83 | 66.604 | 72.406 | — | — | |
| FEDADAVROPTIMISER=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 77.206 | 75.723 | 75.479 | 60.533 | 70.333 | 71.19 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 76.771 | 75.066 | 75.925 | 61.089 | 70.575 | 69.917 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 75.566 | 73.364 | 74.482 | 55.513 | 66.891 | 70.554 | — | — | |
| FEDADAVROPTIMISER=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 75.536 | 74.302 | 73.287 | 52.836 | 69.273 | 71.135 | — | — | |
| FEDADAVROPTIMISER=ADAM, Server learning rate (ηs)=0.0012026.01 | 75.104 | 74.047 | 83.091 | 63.023 | 68.741 | 66.983 | — | — | |
| FEDADAVR-QUANTOPTIMISER=LAMB, Server learning rate (ηs)=0.012026.01 | 74.996 | 72.674 | 76.825 | 66.031 | 70.278 | 73.933 | — | — | |
| FEDADAVROPTIMISER=LAMB, Server learning rate (ηs)=0.012026.01 | 74.485 | 74.902 | 76.427 | 66.529 | 70.554 | 74.941 | — | — | |
| FEDADAVR-QUANTOPTIMISER=YOGI, Server learning rate (ηs)=0.0012026.01 | 73.886 | 73.904 | 72.354 | 61.025 | 69.328 | 71.145 | — | — | |
| FEDADAVROPTIMISER=YOGI, Server learning rate (ηs)=0.0012026.01 | 73.734 | 72.907 | 73.575 | 58.439 | 69.226 | 71.972 | — | — | |
| FEDADAVROPTIMISER=LAMB, Server learning rate (ηs)=0.0052026.01 | 64.062 | 62.505 | 68.601 | 59.87 | 57.882 | 60.637 | — | — | |
| FEDADAVR-QUANTOPTIMISER=LAMB, Server learning rate (ηs)=0.0052026.01 | 62.429 | 65.23 | 69.666 | 60.41 | 59.479 | 69.687 | — | — | |
| FEDADAVROPTIMISER=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 61.777 | 55.181 | 51.176 | 32.834 | 48.904 | 56.658 | — | — | |
| FEDVARPServer learning rate (ηs)=0.12026.01 | 60.217 | 60.506 | 63.441 | 44.84 | 56.687 | 58.473 | — | — | |
| FEDADAVR-QUANTOPTIMISER=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 58.684 | 57.487 | 48.563 | 30.279 | 33.819 | 46.89 | — | — | |
| FEDADAVR-QUANTOPTIMISER=LAMB, Server learning rate (ηs)=0.0012026.01 | 33.004 | 18.693 | 22.779 | 27.412 | 15.892 | 24.672 | — | — | |
| FEDADAVROPTIMISER=LAMB, Server learning rate (ηs)=0.0012026.01 | 29.955 | 18.785 | 20.715 | 25.693 | 10.834 | 31.067 | — | — | |
| FEDVARPServer learning rate (ηs)=0.012026.01 | 10.009 | 10.376 | 10.003 | 14.467 | 30.655 | 16.861 | — | — | |
| FedAMP2026.03 | — | — | — | — | — | — | 10.36 | 55.58 | |
| FedAvg2026.03 | — | — | — | — | — | — | 84.35 | 85.01 | |
| FedCFL2026.03 | — | — | — | — | — | — | 10 | 44.86 | |
| FedClust2026.03 | — | — | — | — | — | — | 10 | 58.11 | |
| FedPrism2026.03 | — | — | — | — | — | — | 81.93 | 95.66 | |
| IFCA2026.03 | — | — | — | — | — | — | 35.52 | 87.05 | |
| Local2026.03 | — | — | — | — | — | — | 30.51 | 95.05 |