FedCORE: federated knowledge collaboration via orchestration and reciprocal enhancement for model-heterogeneous personalized federated learning
In personalized federated learning, the coexistence of model heterogeneity and non-independent and identically distributed (non-IID) data makes cross-client collaboration challenging. Client models may have inconsistent architectures and distinct local knowledge distributions, while conventional parameter aggregation o...