Image Classification on CIFAR-10 Dirichlet partition
68.555AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 68.555 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 67.8 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 67.23 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 67.23 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 67.178 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 66.877 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 65.747 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 65.697 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 65.214 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 64.964 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 64.9 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 64.132 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 62.896 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 62.049 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 61.825 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 61.038 | |
| FedVARPServer learning rate (ηs)=1.02026.01 | 60.645 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 60.335 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 60.126 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 59.331 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 59.302 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 58.381 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 58.075 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 57.988 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 57.613 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 56.812 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 55.995 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 55.321 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 55.179 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 54.903 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 54.63 | |
| FedVARPServer learning rate (ηs)=0.12026.01 | 47.239 | |
| FedVARPServer learning rate (ηs)=0.012026.01 | 27.678 |