FedDP enhances federated cross-project defect prediction by distilling an aggregated global model from a weighted ensemble of local models, with weights derived from the similarity between each client's data and open-source distillation samples.
An investigation on the feasibility of cross-project defect prediction
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Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction
FedDP enhances federated cross-project defect prediction by distilling an aggregated global model from a weighted ensemble of local models, with weights derived from the similarity between each client's data and open-source distillation samples.