Efficient Federated Meta-Learning over Multi-Access Wireless Networks

Sheng Yue, Ju Ren, Jiang Xin +3

Federated meta-learning (FML) has emerged as a promising paradigm to cope with the data limitation and heterogeneity challenges in today's edge learning arena. However, its perform…