activity
20192023
most citedProof of Federated Learning: A Novel Energy-recycling Consensus Algorithm

13 citations · 37 across the 15 of their papers we have counts for

collaborators

15 papers

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.CR2022

Proof of User Similarity: the Spatial Measurer of Blockchain

Shengling Wang, Lina Shi, Hongwei Shi +3

Although proof of work (PoW) consensus dominates the current blockchain-based systems mostly, it has always been criticized for the uneconomic brute-force calculation. As alternati…

cs.CR2022

Active Defense Analysis of Blockchain Forking through the Spatial-Temporal Lens

Shengling Wang, Ying Wang, Hongwei Shi +1

Forking breaches the security and performance of blockchain as it is symptomatic of distributed consensus, spurring wide interest in analyzing and resolving it. The state-of-the-ar…

cs.ET2022

Sync or Fork: Node-Level Synchronization Analysis of Blockchain

Qin Hu, Minghui Xu, Shengling Wang +1

As the cornerstone of blockchain, block synchronization plays a vital role in maintaining the security. Without full blockchain synchronization, unexpected forks will emerge and th…

cs.LG2021★ 1 cited

Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning

Qin Hu, Shengling Wang, Zeihui Xiong +1

The explosive amount of data generated at the network edge makes mobile edge computing an essential technology to support real-time applications, calling for powerful data processi…

cs.CR2021★ 7 cited

Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)

Chunchi Liu, Hechuan Guo, Minghui Xu +4

Blockchain creates a secure environment on top of strict cryptographic assumptions and rigorous security proofs. It permits on-chain interactions to achieve trustworthy properties…