Leilei Fan

FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation

Federated Learning (FL) is a distributed learning paradigm that collaboratively learns a global model across multiple clients with data privacy-preserving. Although many FL algorithms have been proposed for classification tasks, few works focus on more challenging semantic seg-mentation tasks, espec…