Image Classification on Tiny-Imagenet Resnet20 (test)
131Communication RoundsGradMA-S
Evaluation Results
| Method | Links | |
|---|---|---|
| GradMA-Somega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 131 | |
| GradMAomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 146 | |
| GradMA-Somega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 231 | |
| GradMAomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 231 | |
| GradMAomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 231 | |
| GradMA-Somega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 251 | |
| FedAvgMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 286 | |
| FedProxMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 291 | |
| MOONMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 291 | |
| FedMLBMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 296 | |
| Feddynomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 371 | |
| Feddynomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 396 | |
| Feddynomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 406 | |
| FedProxMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 611 | |
| MIFAMomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 656 | |
| FedMLBMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 681 | |
| MIFAomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 716 | |
| FedMLBomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 791 | |
| FedMLBMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 796 | |
| FedMLBomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 806 | |
| GradMA-Womega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 821 | |
| FedAvgMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 821 | |
| FedProxMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 821 | |
| MOONMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 821 | |
| GradMA-Womega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 841 | |
| MimeLiteomega=1.0, S=5, target accuracy=30%, backbone=Resnet20, communication load=2x per round2023.02 | 871 | |
| FedAvgomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 906 | |
| FedProxomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 906 | |
| MOONomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 906 | |
| GradMA-Womega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 936 | |
| MIFAMomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 956 | |
| FedMLBomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 966 | |
| Scaffoldomega=0.01, S=5, target accuracy=5%, backbone=Resnet20, communication load=2x per round2023.02 | 971 | |
| Scaffoldomega=1.0, S=5, target accuracy=30%, backbone=Resnet20, communication load=2x per round2023.02 | 971 | |
| FedAvgomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 986 | |
| FedProxomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 986 | |
| MOONomega=0.01, S=5, target accuracy=5%, backbone=Resnet202023.02 | 986 | |
| FedAvgMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 991 | |
| MOONMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 991 | |
| MimeLiteomega=0.01, S=5, target accuracy=5%, backbone=Resnet20, communication load=2x per round2023.02 | 1,016 | |
| MIFAomega=1.0, S=5, target accuracy=30%, backbone=Resnet202023.02 | 1,021 | |
| MimeLiteomega=1.0, S=10, target accuracy=35%, backbone=Resnet20, communication load=2x per round2023.02 | 1,071 | |
| MIFAMomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 1,076 | |
| FedProxomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 1,091 | |
| FedAvgomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 1,116 | |
| MOONomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 1,116 | |
| MIFAomega=1.0, S=10, target accuracy=35%, backbone=Resnet202023.02 | 1,151 | |
| Scaffoldomega=1.0, S=10, target accuracy=35%, backbone=Resnet20, communication load=2x per round2023.02 | 1,181 |