Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

no code implementations • 30 Jun 2021 • Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Hai Jin, Zheng Xu, Lichao Sun

Federated learning enables multiple clients to collaboratively learn a global model by periodically aggregating the clients' models without transferring the local data.

Federated Learning Knowledge Distillation