Image Classification on CIFAR-10 (LQ-2 partition)
59.843AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 59.843 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 59.574 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 59.393 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 58.634 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 58.615 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 57.87 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 57.287 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 56.09 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 55.96 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 55.811 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 54.594 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 54.314 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 54.028 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 53.491 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 53.038 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 51.095 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 50.628 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 50.557 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 50.277 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 49.304 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 49.253 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 48.3 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 48.095 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 47.334 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 46.552 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 46.427 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 45.823 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 44.933 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 43.733 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 42.852 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 42.272 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 41.848 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 40.883 |