Aequa allocates model widths (and thus accuracies) to federated learning participants in proportion to their estimated contributions, using slimmable networks and a simulated annealing optimizer.
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Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
Aequa allocates model widths (and thus accuracies) to federated learning participants in proportion to their estimated contributions, using slimmable networks and a simulated annealing optimizer.