A Bayesian-persuasion and dynamic-pricing mechanism for online federated learning under two-sided incomplete information, with a claimed 2ξ approximate optimality gap.
Communication-Efficient Learning of Deep Networks from Decentralized Data.Artificial Intelligence and Statistics, 54:273–1282,
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DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
A Bayesian-persuasion and dynamic-pricing mechanism for online federated learning under two-sided incomplete information, with a claimed 2ξ approximate optimality gap.