Image Classification on CIFAR-10 IID partition (test)
50Targeted Communication CostFedCorr
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedCorrrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 50 | 1 | |
| FedCorrrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 60 | 1 | |
| FedCorrrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 70 | 1 | |
| FedCorrrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 90 | 1 | |
| FedCorrrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 90 | 1 | |
| FedCorrrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 110 | 1 | |
| ARFLrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 120 | 2.4 | |
| FedAvgrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 160 | 3.2 | |
| JointOptrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 160 | 3.2 | |
| ARFLrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 170 | 1.9 | |
| FedCorrrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 190 | 1 | |
| FedAvgrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 200 | 3.3 | |
| JointOptrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 200 | 3.3 | |
| FedAvgrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 210 | 2.3 | |
| JointOptrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 220 | 2.4 | |
| JointOptrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 220 | 3.1 | |
| ARFLrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 230 | 3.8 | |
| FedAvgrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 230 | 3.3 | |
| ARFLrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 240 | 3.4 | |
| JointOptrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 250 | 2.3 | |
| JointOptrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 250 | 2.8 | |
| FedAvgrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 270 | 3 | |
| ARFLrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 270 | 3 | |
| FedProxrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 300 | 6 | |
| FedAvgrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 300 | 2.7 | |
| ROFLrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 350 | 7 | |
| ARFLrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 390 | 3.5 | |
| ROFLrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 420 | 7 | |
| FedProxrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 430 | 7.2 | |
| ROFLrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 440 | 6.3 | |
| ROFLrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 470 | 5.2 | |
| FedAvgrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 470 | 2.5 | |
| DivideMixrho (proportion of noisy clients)=0, tau (noise level)=0, Target test accuracy=65%2022.04 | 480 | 9.6 | |
| FedProxrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 480 | 6.9 | |
| ROFLrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 490 | 5.4 | |
| FedProxrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 500 | 5.6 | |
| DivideMixrho (proportion of noisy clients)=0.4, tau (noise level)=0, Target test accuracy=65%2022.04 | 560 | 9.3 | |
| DivideMixrho (proportion of noisy clients)=0.4, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 580 | 6.4 | |
| DivideMixrho (proportion of noisy clients)=0.6, tau (noise level)=0, Target test accuracy=65%2022.04 | 590 | 8.4 | |
| ROFLrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 670 | 6.1 | |
| FedProxrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 670 | 7.4 | |
| FedProxrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 690 | 6.3 | |
| DivideMixrho (proportion of noisy clients)=0.6, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 690 | 6.3 | |
| JointOptrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 860 | 4.5 | |
| DivideMixrho (proportion of noisy clients)=0.8, tau (noise level)=0, Target test accuracy=65%2022.04 | 930 | 10.3 | |
| DivideMixrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 970 | 5.1 | |
| ROFLrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 1,710 | 9 | |
| FedProxrho (proportion of noisy clients)=0.8, tau (noise level)=0.5, Target test accuracy=65%2022.04 | 1,840 | 9.7 |