Yuru Bao

FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation

2025

Federated learning, as a distributed machine learning paradigm, enhances privacy protection but faces the challenge of heterogeneity. Data-free knowledge distillation (DFKD) methods attempt to overcome this challenge by using a generator to synthesize samples for …