Incentive Mechanism

Incentive mechanisms aim to motivate participation in collaborative tasks, particularly in distributed machine learning settings like federated learning, where individual agents may be reluctant to contribute data or resources. Current research focuses on designing mechanisms that are both efficient (minimizing costs and maximizing social welfare) and incentive-compatible (ensuring truthful behavior from participants), often employing game theory, contract theory, and reinforcement learning algorithms to achieve this. These mechanisms are crucial for realizing the full potential of collaborative systems in various applications, from industrial digital twins to healthcare metaverses, by ensuring data sharing and resource allocation are optimized for overall system performance and fairness.

Papers

February 22, 2023

Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework
Ismail Lotfi, Dusit Niyato, Sumei Sun, Dong In Kim, Xuemin Shen
Ubiquitous Semantic Metaverse Incentive Mechanism Incentive Compatibility Contract Design Linear Contract

February 17, 2023

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang
Client Selection Incentive Mechanism Social Welfare Privacy Preserving Learning Dynamic Fairness

January 17, 2023

A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd
Jianheng Tang, Kejia Fan, Wenxuan Xie, Luomin Zeng, Feijiang Han, Guosheng Huang, Tian Wang, Anfeng Liu, Shaobo Zhang
Multi Armed Bandit Data Collection Crowded Environment Incentive Mechanism Semi Supervision

January 1, 2023

Designing organizations for bottom-up task allocation: The role of incentives
Stephan Leitner
Integral Role Agent Based Model Task Allocation Incentive Mechanism Institutional Incentive

October 2, 2022

Incentive Mechanism and Path Planning for UAV Hitching over Traffic Networks
Ziyi Lu, Na Yu, Xuehe Wang
Path Planning Traffic Network Logistics System Incentive Mechanism Last Mile Drone Delivery

July 12, 2022

Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets
Madeleine Woodburn, Wynita M. Griggs, Jakub Marecek, Robert N. Shorten
Incentive Mechanism Herding Algorithm Pedestrian Safety Safety Engineering Urban STREET

May 22, 2022

Incentivizing Federated Learning
Shuyu Kong, You Li, Hai Zhou
Federated Learning Model Performance Collaborative Learning Incentive Mechanism

April 18, 2022

A Practical Cross-Device Federated Learning Framework over 5G Networks
Wenti Yang, Naiyu Wang, Zhitao Guan, Longfei Wu, Xiaojiang Du, Mohsen Guizani
G Network Mobile User Mobile Network Incentive Mechanism Cross Device Federated Learning

March 17, 2022

GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
Shiqing Wu, Weihua Li, Quan Bai
Actor Critic Reward Learning Incentive Mechanism Social Influence Unknown Network Incentive Allocation

February 18, 2022

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong
Federated Learning Resource Allocation Blockchain Network Incentive Mechanism Capital Allocation Incentive Mechanism Design

January 22, 2022

Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint
Jingwen Zhang, Yuezhou Wu, Rong Pan
Online Service Incentive Mechanism Budget Constraint Auction Based Horizontal Federated Learning

November 20, 2021

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, Juan Li
Game Theoretic Game Theory Incentive Mechanism Incentive Mechanism Design Large Scale Machine Learning

Incentive Mechanism

Papers

Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd

Designing organizations for bottom-up task allocation: The role of incentives

Incentive Mechanism and Path Planning for UAV Hitching over Traffic Networks

Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets

Incentivizing Federated Learning

A Practical Cross-Device Federated Learning Framework over 5G Networks

GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning

Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective