Image Classification on MNIST LQ-1 partition (test)
82.808AccuracyFEDADAVR
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 82.808 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 81.884 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 80.156 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 79.123 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 75.651 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 73.522 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 73.246 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 71.772 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 70.892 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 69.314 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 69.18 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 68.557 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 67.327 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 61.943 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 60.528 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 59.161 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 57.072 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 53.171 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 52.49 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 52.479 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 52.374 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 50.326 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 49.364 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 49.335 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 45.566 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 37.277 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 33.542 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 29.601 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 23.238 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 19.582 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 19.574 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 18.558 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 7.11 |