Incentive Strategies of Clients in Decentralized Federated Learning Using Evolutionary Game

Feng, Qingjing and Ma, Yaqian (2024) Incentive Strategies of Clients in Decentralized Federated Learning Using Evolutionary Game. In: Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China.

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Abstract

The decentralized federated learning framework combined with blockchain technology can significantly enhance the data credibility and security of traditional federated learning. To solve challenges like low data quality and "free riding", it is essential to introduce more effective incentive strateg

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:41
Last Modified: 16 Apr 2026 23:19
URI: http://eprints.eai.eu/id/eprint/49442

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