Federated Learning on Shakespeare
50.611AccuracyFEDADAVR-QUANT
Evaluation results
| Method | Links | |
|---|---|---|
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 50.611 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.012026.01 | 50.577 | |
| FedVARPOptimiser=X, Server learning rate (ηs)=1.02026.01 | 50.288 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 50.065 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0052026.01 | 50.048 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 49.549 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 49.514 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.012026.01 | 49.507 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 49.468 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 49.453 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.012026.01 | 49.441 | |
| FedVARPOptimiser=X, Server learning rate (ηs)=0.12026.01 | 49.434 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.012026.01 | 49.343 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0052026.01 | 49.273 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 48.604 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0052026.01 | 48.541 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 48.47 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0052026.01 | 48.44 | |
| FEDADAVR-QUANTOptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 45.295 | |
| FEDADAVROptimiser=ADABELIEF, Server learning rate (ηs)=0.0012026.01 | 45.271 | |
| FEDADAVR-QUANTOptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 43.501 | |
| FedVARPOptimiser=X, Server learning rate (ηs)=0.012026.01 | 43.038 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 42.057 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0012026.01 | 41.799 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 41.556 | |
| FEDADAVR-QUANTOptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 41.492 | |
| FEDADAVR-QUANTOptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 41.201 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.0052026.01 | 41.034 | |
| FEDADAVROptimiser=ADAGRAD, Server learning rate (ηs)=0.0012026.01 | 38.379 | |
| FEDADAVROptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 35.733 | |
| FEDADAVROptimiser=LAMB, Server learning rate (ηs)=0.012026.01 | 31.383 | |
| FEDADAVR-QUANTOptimiser=ADAM, Server learning rate (ηs)=0.0012026.01 | 28.589 | |
| FEDADAVROptimiser=YOGI, Server learning rate (ηs)=0.0012026.01 | 27.921 |