Image Classification on MNIST LQ-2 partition (test)
90.604AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 90.604 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 90.3 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 89.085 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 88.219 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 87.636 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 86.857 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 86.69 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 84.957 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 84.424 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 83.394 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 83.347 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 81.98 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 81.98 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 78.899 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 78.55 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 77.998 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 77.921 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 77.519 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 75.974 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 74.584 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 74.133 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 71.816 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 70.984 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 68.054 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 67.061 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 58.694 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 55.089 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 50.162 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 39.02 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 19.274 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 16.89 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 13.158 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 11.386 |