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

… 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. …

… 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. …

… 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…

… 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 …

… For reliable federated learning, we design an incentive mechanism to motivate high-reputation
workers with highquality local data to join model training. Note that the highquality data …

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

… Incentive Mechanism: We propose an incentive mechanism for cross-silo FL. The proposed
mechanism addresses the public goods feature, and its operation does not rely on the …

… In Section II, we describe the data trading system for on-device federated learning tasks. …
in federated learning tasks in Section III. In Section IV, we present our incentive mechanism …