Concept非独立同分布
non-IID
A phenomenon in federated learning in which client data distributions are inconsistent, leading to unstable model convergence and fairness issues.
A phenomenon in federated learning in which client data distributions are inconsistent, leading to unstable model convergence and fairness issues.