GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization

Yen-Hsiu Chou, Shenda Hong, Chenxi Sun +3

Since data is presented long-tailed in reality, it is challenging for Federated Learning (FL) to train across decentralized clients as practical applications. We present Global-Reg…