WebMost studies fail to consider the fact that if there is no profit, participants have no incentive to provide data and training models, and task requesters cannot identify and select reliable participants with high-quality data. Therefore, this paper proposes a federated learning incentive mechanism based on reputation and reverse auction theory.
Remuneration and Incentive Mechanism About us BOCHK
WebAug 12, 2024 · Federated learning (FL) serves as a data privacy-preserved machine learning paradigm, and realizes the collaborative model trained by distributed clients. To accomplish an FL task, the task publisher needs to pay financial incentives to the FL server and FL server offloads the task to the contributing FL clients. It is challenging to design proper … Webincentive mechanism 激励机制. incentive system 奖励制度,激励制度. incentive theory 激励理论;诱因论. incentive plan 奖励计划,奖金计划. economic incentive 经济激励,经济 … can my ex change my child\u0027s surname at school
A Contract Theory based Incentive Mechanism for Federated …
WebJan 20, 2024 · Specifically, 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. Finally, numerical experiments have been implemented to evaluate the efficiency of the proposed DRL-based incentive mechanism. WebJan 2, 2024 · Based on the summary and analysis of the construction principle of incentive mechanism, this paper probes into the current situation and optimization of its application … WebVCG机制全称是Vickery-Clarke-Groves(维克瑞-克拉克-格罗夫斯)机制,来自于三个人名,所以我们只叫简称。. 在任何一个机制设计的环境里,都有一个DSIC的福利最大化的机 … fixing germ guardian air purifier