… incentive schemes for federate learning. Specifically, we identify the incentive problem in
federated learning … Subsequently, we summarize the existing incentive mechanisms in terms of …

… incentive mechanism design. Then, we review applications of game theory and economic
approaches applied for incentive mechanisms … concerning incentive mechanism design of FL. …

… evaluation in federated learning, we propose the DRL-based incentive mechanism to address
these … of the DRL-based incentive mechanism as compared with the baseline approaches. …

… learning performance of different federated learning algorithms. In this article, we survey the
incentive mechanism design for federated learn… incentive mechanisms for federated learning…

… of the federated learning process. Then, … of incentive mechanism design for federated
learning. Next, a framework of reinforcement mechanism has been designed for federated learning…

Federated Learning (FL) is a distributed learning framework that can deal with the distributed
issue in machine learning and still guarantee high learning … study the incentive mechanism …

… Designing an efficient and reliable incentive mechanism for FL in unreliable scenarios is
challenging. We propose FIFL, an incentive mechanism that characterizes the assessment …

… FL incentive mechanism design, which aims to find the optimal organizational and payment
structure for the federation … In this paper, we present a VCGbased FL incentive mechanism, …

… design aspects for enabling federated learning at the network edge. We … federated learning
via a Stackelberg game to motivate the participation of the devices in the federated learning …

… incentive mechanism with the same reward and the economic incentive effect of the incentive
mechanism … The comparison shows the role of incentive from the perspective of client and …