An incentive compatible ZD strategy-based data sharing model for federated learning: a perspective of iterated prisoner's dilemma

DOI10.1016/J.EJOR.2023.12.013MaRDI QIDQ6554676

Yingmo Jie, Charles Zhechao Liu, Kim-Kwang Raymond Choo, Cheng Guo

Publication date: 13 June 2024

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

game theoryiterated prisoner's dilemmadata sharingfederated learningzero-determinant (ZD) strategy

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Title not available (Why is that?)
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• Vickrey-Dutch procurement auction for multiple items
• Knowledge sharing in communities of practice: a game theoretic analysis
• `Buy \(n\) times, get one free' loyalty cards: are they profitable for competing firms? A game theoretic analysis
• Technology improvement strategy for green products under competition: the role of government subsidy
• Channel coordination between manufacturers and competing retailers with fairness concerns
• After-sale service deployment and information sharing in a supply chain under demand uncertainty
• The Evolution of Cooperation
• Iterated Prisoner’s Dilemma contains strategies that dominate any evolutionary opponent
• Simultaneous Penalization and Subsidization for Stabilizing Grand Cooperation
• Dynamics of Profit-Sharing Games
• Data-Driven Incentive Design in the Medicare Shared Savings Program
• Robust Contract Designs: Linear Contracts and Moral Hazard
• Promoting cooperation using `kin' biased conditional strategy in the iterated prisoner's dilemma game

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