- Game Analysis and Incentive Mechanism Design for Differentially ...🔍
- Mechanism Design in Large Games🔍
- An incentive mechanism design for federated learning with multiple ...🔍
- Incentive Mechanism Design for Federated Learning🔍
- Incentive mechanism design for Federated Learning with ...🔍
- Using Repeated Games to Design Incentive|Based Routing Systems🔍
- MECHANISM DESIGN IN LARGE GAMES🔍
- Collaboration in Federated Learning With Differential Privacy🔍
Game Analysis and Incentive Mechanism Design for Differentially ...
Game Analysis and Incentive Mechanism Design for Differentially ...
In this paper, we formulate clients' privacy-preserving behaviors in cross-silo FL as a multi-stage privacy preservation game.
Game Analysis and Incentive Mechanism Design for Differentially ...
In this paper, we analyze clients' selfish privacy-preserving behaviors in cross-silo FL and design incentive mechanisms to improve the social welfare.
Game Analysis and Incentive Mechanism Design for Differentially ...
Cross-silo federated learning (FL) is a distributed learning method where clients collaboratively train a global model without exchanging ...
Game Analysis and Incentive Mechanism Design for Differentially ...
Game Analysis and Incentive Mechanism Design for Differentially Private Cross-Silo Federated Learning · Wuxing Mao, Qian Ma, +1 author. Xu Chen · Published in ...
Game Analysis and Incentive Mechanism Design for Differentially ...
Request PDF | Game Analysis and Incentive Mechanism Design for Differentially Private Cross-Silo Federated Learning | Cross-silo federated learning (FL) is ...
Game Analysis and Incentive Mechanism Design for Differentially ...
Game Analysis and Incentive Mechanism Design for Differentially Private Cross-Silo Federated Learning. Wuxing Mao. Qian Ma. Guocheng Liao. Xu ...
Game Analysis and Incentive Mechanism Design for Differentially ...
MAO et al.: GAME ANALYSIS AND INCENTIVE MECHANISM DESIGN FOR DIFFERENTIALLY PRIVATE CROSS-SILO FEDERATED LEARNING. 9339. Privacy Preservation in FL: Privacy ...
Mechanism Design in Large Games: Incentives and Privacy
correlated equilibrium of a large game while satisfying joint differential privacy. Although our recommender mechanisms are designed to satisfy game-theoretic ...
An incentive mechanism design for federated learning with multiple ...
Mengda Wang: Methodology, Software, Writing – original draft. Jingyi Zhang: Formal analysis, Software, Writing – review & editing. Wei Wang: Data curation, ...
Mechanism Design in Large Games: Incentives and Privacy
... issue 5, pages 431-35 of American Economic Review, May 2014, Abstract: We study the design of mechanisms satisfying a novel desideratum: privacy. This r...
Incentive Mechanism Design for Federated Learning - ResearchGate
Assuming agents behave selfishly, we model their interaction as a stable coalition partition problem using hedonic games where agents and clusters are the ...
Mechanism Design in Large Games: Incentives and Privacy.
– Predict based on weighted majority vote. – Penalize mistakes by cutting weight in half. Page 37. Analysis: do nearly as well ...
Incentive mechanism design for Federated Learning with ...
The remainder of this paper is organized as follows. We review the related works and highlight some research gaps on IMD in FL and the Stackelberg game for IMD ...
game. Said differently, it is known that the VCG mechanism is susceptible to collusion. But in the one shot game, without explicit agreements, such ...
MECHANISM DESIGN IN LARGE GAMES: INCENTIVES AND ...
Therefore, an -jointly differentially private mechanism is also -strategy proof: it is an -dominant strategy for any player to report her true ...
Collaboration in Federated Learning With Differential Privacy: A ...
2020. TLDR. This paper adopts the game theory to design an effective incentive mechanism, which selects users that are most likely to provide reliable data ...
Mechanism Design in Large Games: Incentives and Privacy - jstor
"When Are Agents Negligible?" Amer- ican Economic Review 85 (5): 1 160-70. McSherry, Frank, and Kunal Tal war. 2007. "Mechanism Design via Differential Privacy.
Incentive Mechanism Design for Federated Learning - arXiv
International Game. Theory Review 8, 4 (2006), 613–641. [9] S ... Incentive Design and Differential Privacy Based Federated. Learning: A ...
CSRA: Robust Incentive Mechanism Design for Differentially Private ...
Weiet al., “Federated learning with differential privacy: Algorithms and performance analysis,” IEEE Trans. Inf. Forensics Security, vol. 15, pp ...
A Review on Game-Theoretic Incentive Mechanisms for Mobile Data ...
Game theory has been exploited to acquire solutions for resource allocation, incentives design, and cooperation enforcement among the players in ...