FedImpro aims to mitigate client drift in federated learning by constructing similar conditional distributions for local training, reducing gradient dissimilarity, and enhancing generalization performance.
FEDIMPRO aims to mitigate client drift in federated learning by constructing similar conditional distributions for local training, reducing gradient dissimilarity, and enhancing generalization performance.