Image Classification on CIFAR-10 (LQ-1 partition)
46.895AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 46.895 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 46.784 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 46.784 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 46.708 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 45.397 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 44.533 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 44.098 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 43.264 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 42.87 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 42.789 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 41.006 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 39.746 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 39.17 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 38.955 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 37.922 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 37.764 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 37.197 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 37.073 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 36.303 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 36.275 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 35.699 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 35.59 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 35.561 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 35.133 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 34.379 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 34.306 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 33.196 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 32.201 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 32.048 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 31.437 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 30.859 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 30.451 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 29.796 |