Wenjie Lv

Enhancing Federated Knowledge Distillation in Heterogeneous and Non-IID Scenarios

Federated Learning (FL) allows multiple participants to train models together while keeping their data private. Some FL frameworks use Knowledge Distillation to address model heterogenity, but many struggle in non-IID and heterogeneous environments, making it hard for clients to learn from each othe…