Binary Classification on Germany
0.557F1 ScoreFedAwS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FedAwSLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.557 | 0.27 | 0.43 | 0.803 | |
| TurboSVMLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.547 | 0.254 | 0.462 | 0.73 | |
| FedProxLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.528 | 0.222 | 0.431 | 0.758 | |
| FedAvgLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.526 | 0.219 | 0.43 | 0.716 | |
| FedAdamLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.514 | 0.199 | 0.451 | 0.605 | |
| MOONLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 0.512 | 0.196 | 0.466 | 0.632 | |
| Centralized LearningLearning Strategy=Centralized, Backbone=bi-LSTM2026.02 | 0.5 | 0.176 | 0.441 | 0.579 | |
| Centralized LearningLearning Strategy=Centralized, Backbone=Bagging2026.02 | 0.417 | 0.04 | 0.46 | 0.411 |