Introduces incentive-aware federated averaging with NE-seeking dataset size updates and establishes performance guarantees plus asymptotic convergence for strategic participation in convex, nonconvex, and monotone settings.
One for one, or all for all: Equilibria and optimality of collaboration in federated learning
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Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
Introduces incentive-aware federated averaging with NE-seeking dataset size updates and establishes performance guarantees plus asymptotic convergence for strategic participation in convex, nonconvex, and monotone settings.