Chengchao Zhang

FedAGC: Federated Continual Learning with Asymmetric Gradient Correction

Federated Continual Learning (FCL) has emerged as a prominent distributed learning paradigm and aims at addressing model learning challenges in both federated and continual learning settings. Efficient personalization in FCL remains a major challenge, as it must handle not only conflicts between old…