2025
Personalized Federated Class-Incremental Learning through Critical Parameter Transfer
ICASSP 2025accepted
Personalized federated learning is a decentralized approach that enables clients to collaboratively train a shared model while customizing it to their unique data and requirements. However, existing methods are not suited for dynamic scenarios where clients continuously learn from new classes of dat…