FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance

FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance explores A federated learning algorithm tackling optimization and performance divergence for effective collaboration in heterogeneous data environments.. Commercial viability score: 6/10 in Federated Learning.