RLAvg

FedSPDnet advances federated learning with geometry-aware aggregation strategies

Researchers have developed FedSPDnet, a novel federated learning framework designed for models that process symmetric positive definite (SPD) matrices with Stiefel-constrained parameters. This framework introduces two a…