A closed-form Nash equilibrium and Stackelberg search show how an SFL owner should set incentives and cut layer to elicit client data contributions.
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions,
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How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
A closed-form Nash equilibrium and Stackelberg search show how an SFL owner should set incentives and cut layer to elicit client data contributions.