Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention
arXiv:2605.11752v1 Announce Type: new
Abstract: Federated learning relies on effective client selection to alleviate the performance degradation caused by data heterogeneity. Most existing methods assume full visibility of all clients at each communic…