Yanli Yuan

Boosting Semi-Supervised Federated Learning with Model Personalization and Client-Variance-Reduction

Recently, federated learning (FL) has been increasingly appealing in distributed signal processing and machine learning. Nevertheless, the practical challenges of label deficiency and client heterogeneity form a bottleneck to its wide adoption. Although numerous efforts have been devoted to semi- su…