13 citations · 69 across the 14 of their papers we have counts for
14 papers
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses
Jinbo Wen, Jiawen Kang, Zehui Xiong +4
Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelli…
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness
Jiawen Kang, Jinbo Wen, Dongdong Ye +7
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a transformative force, creating intelligent healthcare systems that offer immersive and personali…
Epidemic Model-based Network Influential Node Ranking Methods: A Ranking Rationality Perspective
Bing Zhang, Xuyang Zhao, Jiangtian Nie +4
Most recent surveys and reviews on Influential Node Ranking Methods (INRMs) hightlight discussions on the methods' technical details, but there still lacks in-depth research on the…
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu, Kun Zhu, Nguyen Cong Luong +3
Federated learning (FL) becomes popular and has shown great potentials in training large-scale machine learning (ML) models without exposing the owners' raw data. In FL, the data o…
Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey
Tianxu Li, Kun Zhu, Nguyen Cong Luong +4
Future Internet involves several emerging technologies such as 5G and beyond 5G networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of Things (IoTs).…
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
Jiawen Kang, Zehui Xiong, Chunxiao Jiang +6
The emerging Federated Edge Learning (FEL) technique has drawn considerable attention, which not only ensures good machine learning performance but also solves "data island" proble…