Fang-Yu Li

FedHiPL: Federated Hierarchical Prototype Learning for Heterogeneous Non-IID Data

Federated learning (FL) collaboratively trains models across networked industrial Internet of Things (IIoT) terminals. However, statistical heterogeneity in IIoT data often hinders the performance of global models. Current FL methods typically focus on single-level representation alignment and fail to exploit gradient-...