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

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Showing cs.GTShow all

6 papers · 1 filter

cs.GT2020★ 1 cited

Cap the Gap: Solving the Egoistic Dilemma under the Transaction Fee-Incentive Bitcoin

Hongwei Shi, Shengling Wang, Qin Hu +2

Bitcoin has witnessed a prevailing transition that employing transaction fees paid by users rather than subsidy assigned by the system as the main incentive for mining.

cs.GT2020

Privacy-aware Data Trading

Shengling Wang, Lina Shi, Junshan Zhang +2

The growing threat of personal data breach in data trading pinpoints an urgent need to develop countermeasures for preserving individual privacy. The state-of-the-art work either e…

cs.GT2020★ 1 cited

A Misreport- and Collusion-Proof Crowdsourcing Mechanism without Quality Verification

Kun Li, Shengling Wang, Xiuzhen Cheng +1

Quality control plays a critical role in crowdsourcing. The state-of-the-art work is not suitable for large-scale crowdsourcing applications, since it is a long haul for the reques…

cs.GT2020

Egoistic Incentives Based on Zero-Determinant Alliances for Large-Scale Systems

Shengling Wang, Peizi Ma, Qin Hu +2

Social dilemmas exist in various fields and give rise to the so-called free-riding problem, leading to collective fiascos. The difficulty of tracking individual behaviors makes ego…

cs.GT2019★ 1 cited

An Uncertainty- and Collusion-Proof Voting Consensus Mechanism in Blockchain

Shengling Wang, Xidi Qu, Qin Hu +1

Though voting-based consensus algorithms in Blockchain outperform proof-based ones in energy- and transaction-efficiency, they are prone to incur wrong elections and bribery electi…

cs.GT2019★ 1 cited

Hopping-Proof and Fee-Free Pooled Mining in Blockchain

Hongwei Shi, Shengling Wang, Qin Hu +3

The pool-hopping attack casts down the expected profits of both the mining pool and honest miners in Blockchain. The mainstream countermeasures, namely PPS (pay-per-share) and PPLN…