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This paper studies cooperative data-sharing between competitors vying to predict a consumer's tastes.
Feng, Y · 1909
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Advances and open problems in federated learning
Kairouz, P · 1912
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Rational choice and the structure of the environment
Simon, H. A · 1956
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Agreeing to disagree
Aumann, R. J · 1976
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Collusion and the incentives for information sharing
Clarke, R. N · 1983
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Game Theory: Analysis of Conflict
Myerson, R. B · 1991
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Five legitimate definitions of correlated equilibrium in games with incomplete information
Forges, F · 1993
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Information sharing in credit markets
Pagano, M · 1993
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A general model of information sharing in oligopoly
Raith, M · 1996
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“Coopetition” in business networks – to cooperate and compete simultaneously
Bengtsson, M · 2000
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k-implementation
Monderer, D · 2004
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The long tail: Why the future of business is selling less of more
Anderson, C · 2006
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Customer information sharing among rival firms
Liu, Q · 2006
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Information sharing and lending market competition with switching costs and poaching
Gehrig, T · 2007
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Contracting and information sharing under supply chain competition
Ha, A. Y · 2008
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Strong mediated equilibrium
Monderer, D · 2009
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Empirical analysis of the impact of recommender systems on sales
Pathak, B · 2010
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Co-opetition
Brandenburger, A. M · 2011
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Bayesian persuasion
Kamenica, E · 2011
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Robust predictions in games with incomplete information
Bergemann, D · 2013
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Targeted pricing and customer data sharing among rivals
Jentzsch, N · 2013
Markets for information: An introduction
Bergemann, D · 2019
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Information design: A unified perspective
Bergemann, D · 2019
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Information sale and competition
Bimpikis, K · 2019
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Data brokers co-opetition
Gu, Y · 2019
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Federated machine learning: Concept and applications
Yang, Q · 2019
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Crowdsourcing market information from competitors
de Zegher, J. F · 2020
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Competing data intermediaries
Ichihashi, S · 2020
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