66 citations · 72 across the 9 of their papers we have counts for
4 papers · 1 filter
Blockchain-based Edge Resource Sharing for Metaverse
Zhilin Wang, Qin Hu, Minghui Xu +1
Although Metaverse has recently been widely studied, its practical application still faces many challenges. One of the severe challenges is the lack of sufficient resources for com…
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
Zhilin Wang, Qin Hu, Zehui Xiong
With the development of mobile edge computing (MEC) and blockchain-based federated learning (BCFL), a number of studies suggest deploying BCFL on edge servers. In this case, resour…
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Zhilin Wang, Qin Hu, Ruinian Li +2
Blockchain-based federated learning (BCFL) has recently gained tremendous attention because of its advantages such as decentralization and privacy protection of raw data. However,…
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey
Zhilin Wang, Qiao Kang, Xinyi Zhang +1
Advances in distributed machine learning can empower future communications and networking. The emergence of federated learning (FL) has provided an efficient framework for distribu…