2026
Re-architecting Personalized Federated Learning for Demanding Edge Environments
AAAI 2026technical
Federated Edge Learning (FEL) has emerged as a promising approach for enabling edge devices to collaboratively train machine learning models while preserving data privacy. Despite its advantages, practical FEL deployment faces significant challenges related to device constraints and device-server in