FedUCA formalizes the server as an optimizer that uses utility-constrained stochastic aggregation to maximize client retention and global performance in heterogeneous federated learning.
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Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
FedUCA formalizes the server as an optimizer that uses utility-constrained stochastic aggregation to maximize client retention and global performance in heterogeneous federated learning.