A POMDP formulation with spatio-temporal attention reinforcement learning improves federated client selection performance under partial visibility and data heterogeneity.
Snake learning: A communication-and computation-efficient distributed learning framework for 6g.IEEE Communications Magazine
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Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention
A POMDP formulation with spatio-temporal attention reinforcement learning improves federated client selection performance under partial visibility and data heterogeneity.