Uncertainty Minimization for Personalized Federated Semi-Supervised Learning

no code implementations • 5 May 2022 • Yanhang Shi, Siguang Chen, Haijun Zhang

Since federated learning (FL) has been introduced as a decentralized learning technique with privacy preservation, statistical heterogeneity of distributed data stays the main obstacle to achieve robust performance and stable convergence in FL applications.

Federated Learning