2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.DS2023
Multi-dimensional Data Quick Query for Blockchain-based Federated Learning
Jiaxi Yang, Sheng Cao, Peng xiangLi +2
Due to the drawbacks of Federated Learning (FL) such as vulnerability of a single central server, centralized federated learning is shifting to decentralized federated learning, a…
cs.LG2023★ 2 cited
Federated Learning Incentive Mechanism under Buyers' Auction Market
Jiaxi Yang, Zihao Guo, Sheng Cao +2
Auction-based Federated Learning (AFL) enables open collaboration among self-interested data consumers and data owners. Existing AFL approaches are commonly under the assumption of…
cs.GT2023
Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning
Jiaxi Yang, Sheng Cao, Cuifang Zhao +2
In recent years, there has been a significant increase in attention towards designing incentive mechanisms for federated learning (FL). Tremendous existing studies attempt to desig…