Image Classification on MNIST LQ-3 partition (test)
94.384AccuracyFEDADAVR
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 94.384 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 94.135 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 93.727 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 93.48 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 92.991 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 92.986 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 92.688 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 92.483 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 92.319 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 92.168 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 91.729 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 87.941 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 86.978 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 85.931 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 84.84 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 84.328 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 84.271 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 83.518 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 83.236 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 82.445 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 82.382 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 82.17 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 78.666 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 78.185 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 75.294 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 64.278 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 54.94 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 48.227 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 46.129 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 19.194 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 18.872 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 12.74 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 8.679 |