AW-PSP dynamically weights node sampling by real-time availability predictions and failure correlations to improve robustness, label coverage, and fairness in federated learning under correlated device failures.
Characterizing impacts of heterogeneity in federated learning upon large-scale smartphone data
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Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
AW-PSP dynamically weights node sampling by real-time availability predictions and failure correlations to improve robustness, label coverage, and fairness in federated learning under correlated device failures.