PDCFL: Prototype‐Driven Decoupled Clustered Federated Learning for Non‐IID Data
A prototype space optimization mechanism based on NT‐Xent that alleviates insufficient prototype discriminability by promoting intra‐cluster aggregation and increasing intercluster distance is devised and an adaptive model decoupling strategy is introduced to address the remaining intra‐cluster heterogeneity.