PFL-Erase is a comprehensive framework that integrates machine unlearning capabilities into Personalized Federated Learning (PFL) systems. This project addresses the critical need for efficient data removal in distributed AI systems to comply with privacy regulations like GDPR/CCPA and enhance security against data poisoning attacks.