activity
20202026
most citedA Systematic Survey of Blockchained Federated Learning

66 citations · 176 across the 35 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.DC2023★ 1 cited

Spatial Crowdsourcing Task Allocation Scheme for Massive Data with Spatial Heterogeneity

Kun Li, Shengling Wang, Hongwei Shi +2

Spatial crowdsourcing (SC) engages large worker pools for location-based tasks, attracting growing research interest. However, prior SC task allocation approaches exhibit limitatio…

cs.CR2023★ 3 cited

An Adaptive and Modular Blockchain Enabled Architecture for a Decentralized Metaverse

Ye Cheng, Yihao Guo, Minghui Xu +3

A metaverse breaks the boundaries of time and space between people, realizing a more realistic virtual experience, improving work efficiency, and creating a new business model. Blo…

cs.DC2023

PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning

Shengyang Li, Qin Hu, Zhilin Wang

Facilitated by mobile edge computing, client-edge-cloud hierarchical federated learning (HFL) enables communication-efficient model training in a widespread area but also incurs ad…

cs.DC2023★ 1 cited

Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning

Zhilin Wang, Qin Hu, Minghui Xu +1

Cloud-edge-device hierarchical federated learning (HFL) has been recently proposed to achieve communication-efficient and privacy-preserving distributed learning. However, there ex…

cs.CR2023★ 5 cited

Exploring Blockchain Technology through a Modular Lens: A Survey

Minghui Xu, Yihao Guo, Chunchi Liu +5

Blockchain has attracted significant attention in recent years due to its potential to revolutionize various industries by providing trustlessness. To comprehensively examine block…

cs.DC2023

Meta Computing

Xiuzhen Cheng, Minghui Xu, Runyu Pan +4

With the continuous improvement of information infrastructures, academia and industry have been constantly exploring new computing paradigms to fully exploit computing powers. In t…