Domain-aware Contrastive Federated Learning in Extreme Non-iid Conditions

Position

Final project of EE616 Advanced Big data – AI Integration course

Project Goals & Works

1. Developed a novel model contrastive federated learning approach considering domain-wise non-iidness.
2. Suggested Major Domain Group (MDG)-based client selection method, which appropriately selects half of the clients from the major.