Weight Prediction on Australian livestock production dataset (test)
14.34RMSECentralized training
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Centralized trainingTraining Paradigm=Centralized2026.03 | 14.34 | 10.3 | 2.71 | 0.97 | |
| LivestockPFLTraining Paradigm=Personalized Federated Learning, Weighting Strategy=Sample size (ni), Personalization=True2026.03 | 23.42 | 17.33 | 4.66 | 0.93 | |
| LivestockPFL-SqrtTraining Paradigm=Personalized Federated Learning, Weighting Strategy=Square root of sample size (sqrt(ni)), Personalization=True2026.03 | 26.81 | 20.41 | 5.42 | 0.91 | |
| LivestockFL-SqrtTraining Paradigm=Federated Learning, Weighting Strategy=Square root of sample size (sqrt(ni)), Personalization=False2026.03 | 39.55 | 31.84 | 8.53 | 0.8 | |
| LivestockFLTraining Paradigm=Federated Learning, Weighting Strategy=Sample size (ni), Personalization=False2026.03 | 42.76 | 33.46 | 9.13 | 0.75 |