Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios

Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios explores Develop a federated learning framework that enhances model performance using contrastive learning and historical information in heterogeneous environments.. Commercial viability score: 4/10 in Federated Learning.