Image Classification on CIFAR-10 (LQ-3 partition)
67.896AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 67.896 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 67.559 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 66.144 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 65.879 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 65.776 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 65.741 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 65.648 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 65.202 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 64.917 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 64.014 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 63.775 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 63.666 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 63.561 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 63.485 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 62.611 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 60.404 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 58.537 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 58.175 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 56.691 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 56.199 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 56.156 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 55.925 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 55.755 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 55.364 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 55.157 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 54.656 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 54.039 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 53.842 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 53.007 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 52.86 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 51.586 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 51.393 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 49.376 |