Jianfeng Lu
Biographic Data
| ID | 7905487 |
|---|---|
| NAME | Jianfeng Lu |
| GIVEN NAMES | Jianfeng |
| FAMILY NAME | Lu |
| SIGNATURE | LU J |
| AFFILIATIONS | Zhejiang Normal University |
| ORCID | 0000-0002-6839-0442 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
FedSC
Although promising, federated edge learning (FEL) is being plagued by unreliable clients with low-quality parameters due to tight edge association and frequent edge aggregation. Existing efforts mainly focus on setting thresholds or identifying malicious behaviors to resist unreliable clients, which comes at the cost of losing their training samples and leads to unsustainable and collaborative inefficiencies. To tackle this issue, we propose the …
Overcoming e-commerce barriers in developing markets
Background E-commerce involves online buying and selling of goods or services, including electronic payments, internet banking, and digital marketing. Barriers and enablers of e-commerce growth include infrastructure, technology, policy, and consumer behavior. Barriers encompass limited access, trust issues, and digital literacy, while enablers include government policies, technological advancements, and market accessibility. Objective This study…
Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning
Although vertical federated learning (VFL) has become a new paradigm of distributed machine learning for emerging multiparty joint modeling applications, how to effectively incentivize self-conscious clients to actively and reliably contribute to collaborative learning in VFL has become a critical issue. Existing efforts are inadequate to address this issue since the training sample size needs to be unified before model training in VFL. To this e…
Dp-CSM
Generating differentially private synthetic human mobility trajectories from real trajectories is a commonly used approach for privacy-preserving trajectory publishing. However, existing synthetic trajectory generation methods suffer from the drawbacks of poor scalability and suboptimal privacy–utility trade-off, due to continuous spatial space, high dimentionality of trajectory data and the suboptimal noise addition mechanism. To overcome the dr…
Extortion and Cooperation in Rating Protocol Design for Competitive Crowdsourcing
Although crowdsourcing has emerged as a paradigm for leveraging human intelligence and activity to solve a wide range of tasks, strategic workers will find enticement in their self-interest to free-ride and attack in a crowdsourcing contest dilemma game. Existing incentive mechanisms are not effective to avoid socially undesirable equilibrium due to the following features of competitive crowdsourcing: in the presence of imperfect monitoring, hete…
Effect of reversible lanes on the concentration field of road-traffic-generated fine particulate matter (PM2.5)
Environmental Impact of High Concentration Nitrate Migration in Soil System Using Hydrus Simulation
Nitrate is a promising heat transfer fluid in solar thermal power and nuclear power systems, but its leakage can cause serious environmental problems. The present paper investigates the deep and prolonged migration of high concentrations of nitrate into the soil system, and the associated diffusion range is studied to estimate and reduce the environmental pollution caused by nitrate leaks. The vertical nitrate contaminated range is mainly impacte…
No prominent works on this page.
Effect of reversible lanes on the concentration field of road-traffic-generated fine particulate matter (PM2.5)
Environmental Impact of High Concentration Nitrate Migration in Soil System Using Hydrus Simulation
Nitrate is a promising heat transfer fluid in solar thermal power and nuclear power systems, but its leakage can cause serious environmental problems. The present paper investigates the deep and prolonged migration of high concentrations of nitrate into the soil system, and the associated diffusion range is studied to estimate and reduce the environmental pollution caused by nitrate leaks. The vertical nitrate contaminated range is mainly impacte…
Extortion and Cooperation in Rating Protocol Design for Competitive Crowdsourcing
Although crowdsourcing has emerged as a paradigm for leveraging human intelligence and activity to solve a wide range of tasks, strategic workers will find enticement in their self-interest to free-ride and attack in a crowdsourcing contest dilemma game. Existing incentive mechanisms are not effective to avoid socially undesirable equilibrium due to the following features of competitive crowdsourcing: in the presence of imperfect monitoring, hete…
Dp-CSM
Generating differentially private synthetic human mobility trajectories from real trajectories is a commonly used approach for privacy-preserving trajectory publishing. However, existing synthetic trajectory generation methods suffer from the drawbacks of poor scalability and suboptimal privacy–utility trade-off, due to continuous spatial space, high dimentionality of trajectory data and the suboptimal noise addition mechanism. To overcome the dr…
Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning
Although vertical federated learning (VFL) has become a new paradigm of distributed machine learning for emerging multiparty joint modeling applications, how to effectively incentivize self-conscious clients to actively and reliably contribute to collaborative learning in VFL has become a critical issue. Existing efforts are inadequate to address this issue since the training sample size needs to be unified before model training in VFL. To this e…
FedSC
Although promising, federated edge learning (FEL) is being plagued by unreliable clients with low-quality parameters due to tight edge association and frequent edge aggregation. Existing efforts mainly focus on setting thresholds or identifying malicious behaviors to resist unreliable clients, which comes at the cost of losing their training samples and leads to unsustainable and collaborative inefficiencies. To tackle this issue, we propose the …
Overcoming e-commerce barriers in developing markets
Background E-commerce involves online buying and selling of goods or services, including electronic payments, internet banking, and digital marketing. Barriers and enablers of e-commerce growth include infrastructure, technology, policy, and consumer behavior. Barriers encompass limited access, trust issues, and digital literacy, while enablers include government policies, technological advancements, and market accessibility. Objective This study…
Computer Science (4 works) · Computer security (3 works) · Economics (3 works) · Microeconomics (3 works) · Artificial Intelligence (2 works) · Auction Theory and Applications (2 works) · Business (2 works) · Chemistry (2 works) · Digital Platforms and Economics (2 works) · Environmental Engineering (2 works)