Incentive mechanism in federated learning
WebDesign of Two-Level Incentive Mechanisms for Hierarchical Federated Learning Shunfeng Chu, Jun Li, Senior Member, IEEE, Kang Wei, Member, IEEE, Yuwen Qian, Kunlun Wang, Member, IEEE, Feng Shu, Senior Member, IEEE, and Wen Chen, Senior Member, IEEE Abstract—Hierarchical Federated Learning (HFL) is a dis- WebMay 1, 2024 · An incentive mechanism is urgently required in order to encourage high-quality workers to participate in FL and to punish the attackers. In this paper, we propose FGFL, a blockchain-based incentive governor for Federated Learning. In FGFL, we assess the participants with reputation and contribution indicators.
Incentive mechanism in federated learning
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WebNov 24, 2024 · The incentive mechanism for federated learning to motivate edge nodes to contribute model training is studied and a deep reinforcement learning-based (DRL) incentive mechanism has been designed to determine the optimal pricing strategy for the parameter server and the optimal training strategies for edge nodes. 192 Highly Influential … WebFeb 22, 2016 · Khaled A. Beydoun is a law professor, author, and public scholar. You can learn more about him by visiting his website at www.khaledbeydoun.com Learn …
WebIn order to effectively solve these problems, we propose FIFL, a fair incentive mechanism for federated learning. FIFL rewards workers fairly to attract reliable and efficient ones while … WebDec 4, 2024 · Download Citation On Dec 4, 2024, Jingyuan Liu and others published Incentive Mechanism Design For Federated Learning in Multi-access Edge Computing Find, read and cite all the research you ...
WebIncentive Mechanism Incentive mechanisms have been studied in other areas such as crowdsensing (Gong and Shroff 2024; Yang et al. 2012), but these works have not been directly applied to FL area (Deng et al. 2024). Game theory and auction can be used as approaches to provide incentives for FL (Khan et al. 2024; Zhan et al. 2024). WebAug 15, 2024 · In this paper, we present a VCG-based FL incentive mechanism, named FVCG, specifically designed for incentivizing data owners to contribute all their data and truthfully report their costs in...
WebJan 19, 2024 · The current research on the incentive mechanism of FL lacks the accurate assessment of clients’ truthfulness and reliability, and the incentive mechanism based on untruthful and unreliable...
WebJul 27, 2024 · Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach. Abstract: Federated learning (FL) represents a new machine learning … day tripper tony and the tigersWebJan 20, 2024 · A Learning-Based Incentive Mechanism for Federated Learning Abstract: Internet of Things (IoT) generates large amounts of data at the network edge. Machine … gear bear cell phoneWebJan 28, 2024 · Federated Learning Incentive Mechanism Design via Enhanced Shapley Value Method Federated learning (FL) is an emerging collaborative machine learning … gear bearing zWebJan 1, 2024 · Moreover, an incentive mechanism based on reputation points and Shaply values is proposed to improve the sustainability of the federated learning system, which provides a credible participation mechanism for data sharing based on federated learning and fair incentives. gearbearstyleWebApr 10, 2024 · 联邦学习（Federated Learning）与公平性（Fairness）的结合，旨在在联邦学习过程中考虑和解决数据隐私和公平性的问题。. 公平性在机器学习和人工智能中非常重 … day trip perth to margaret rivergear beast cell phone lanyard holderWebApr 9, 2024 · However, the challenges such as incentive mechanisms for participating in training and worker (i.e., mobile devices) selection schemes for reliable federated … day trip perth to rottnest island