Binary Classification on EngageNet
61.6F1 ScoreMOON
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MOONLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 61.6 | 30.5 | 48.6 | 84.4 | |
| FedProxLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 58 | 26.9 | 54.9 | 63.5 | |
| FedAvgLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 57.4 | 26.3 | 51.9 | 65.3 | |
| FedAwSLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 55.7 | 24.6 | 56.5 | 55.1 | |
| Centralized LearningLearning Strategy=Centralized, Backbone=bi-LSTM2026.02 | 51.4 | 20.3 | 55.7 | 48.6 | |
| TurboSVMLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 49.5 | 18.4 | 53.3 | 48.1 | |
| FedAdamLearning Strategy=Federated, Backbone=bi-LSTM2026.02 | 49.1 | 18 | 57.4 | 43.4 | |
| Centralized LearningLearning Strategy=Centralized, Backbone=Bagging2026.02 | 44.3 | 13.2 | 67.9 | 36.7 |