Pattern Recognition Tasks with Personalized Federated Learning
This study proposes a personalized federated learning (PFL) approach for pattern recognition tasks, improving model accuracy by adapting to client-specific data while preserving privacy. It demonstrates superior performance in tasks like image classification, speech recognition, and text analysis compared to traditional federated learning methods.
Jan 1, 2025