arxivcs.LGcs.AIcs.DC2026-07-05
FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture
Zijian Wang, Pengfei Li, Guangyu Yang, Qiong Zhang
Routing-prediction federated learning has emerged as a new paradigm that reframes inter-client heterogeneity as a resource for system-level intelligence: at inference time, the server routes each external query to the best-matched client for prediction. Existing approaches, howev…