FedGPA: a multi-level aggregation framework for federated learning with collaborative optimization of generalization and personalization
A novel framework is introduced, FedGPA, which integrates the global model, clustered models, individual optimal models, and individual local models through an aggregation mechanism leveraging the hierarchical structure of deep neural networks, and incorporates an adaptive weight matrix that dynamically adjusts feature...