Generative AI-empowered simulation for autonomous driving in vehicular mixed reality metaverses

M Xu, D Niyato, J Chen, H Zhang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In the vehicular mixed reality (MR) Metaverse, the discrepancy between physical and virtual
entities can be overcome by fusing the physical and virtual environments with multi …

An incentive mechanism for cross-silo federated learning: A public goods perspective

M Tang, VWS Wong - IEEE INFOCOM 2021-IEEE Conference …, 2021 - ieeexplore.ieee.org
In cross-silo federated learning (FL), organizations cooperatively train a global model with
their local data. The organizations, however, may be heterogeneous in terms of their …

Edge intelligence for adaptive multimedia streaming in heterogeneous internet of vehicles

P Dai, F Song, K Liu, Y Dai, P Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is envisioned as a promising solution to real-time services in
Internet of Vehicles (IoV) by enabling edge caching, computing and communication …

EPViSA: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse

M Xu, D Niyato, B Wright, H Zhang… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Metaverse can obscure the boundary between the physical and virtual worlds. Specifically,
for the human-centric Metaverse in vehicular networks, ie, the vehicular Metaverse, vehicles …

Generative AI-empowered effective physical-virtual synchronization in the vehicular metaverse

M Xu, D Niyato, H Zhang, J Kang… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Metaverse seamlessly blends the physical world and virtual spaces through ubiquitous
communication and computing equipment and infrastructure. In intelligent transportation …

Double insurance: Incentivized federated learning with differential privacy in mobile crowdsensing

C Ying, H Jin, X Wang, Y Luo - 2020 International Symposium …, 2020 - ieeexplore.ieee.org
Exploiting the computing capability of mobile devices with specialized engines (eg, Neural
Engine in iPhone), an attractive paradigm of federated learning that combines the mobile …

Epvisa: Efficient auction design for real-time physical-virtual synchronization in the metaverse

M Xu, D Niyato, B Wright, H Zhang, J Kang… - arXiv preprint arXiv …, 2022 - arxiv.org
Metaverse can obscure the boundary between the physical and virtual worlds. Specifically,
for the Metaverse in vehicular networks, ie, the vehicular Metaverse, vehicles are no longer …

Communication, computation, and caching resource sharing for the internet of things

M Tang, L Gao, J Huang - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
The Internet of Things connects a large number of smart mobile devices with the Internet,
where these devices are embedded with often limited communication, computation, and …

Efficient and truthful multi-attribute auctions for crowdsourced delivery

F Xiao, H Wang, S Guo, X Guan, B Liu - International Journal of Production …, 2021 - Elsevier
Crowdsourced delivery is an emerging parcel delivery paradigm that leverages occasional
couriers' excess capacities to transport goods. In a crowdsourced delivery system, couriers …

A blockchain-empowered incentive mechanism for cross-silo federated learning

M Tang, F Peng, VWS Wong - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
In cross-silo federated learning (FL), organizations cooperatively train a global model with
their local datasets. However, some organizations may act as free riders such that they only …