iPFL combines graph-based personalized federated learning with a game-theoretic payment rule, proving non-negative utility and one-sided truthfulness, and showing higher economic utility in simulated markets.
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Incentivizing Inclusive Contributions in Model Sharing Markets
iPFL combines graph-based personalized federated learning with a game-theoretic payment rule, proving non-negative utility and one-sided truthfulness, and showing higher economic utility in simulated markets.