Siyang Wang

ORCID: 0000-0003-1303-7761
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About
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Research Areas
  • Privacy-Preserving Technologies in Data
  • Hydrology and Watershed Management Studies
  • Digital Transformation in Industry
  • Mobile Crowdsensing and Crowdsourcing
  • Seismic and Structural Analysis of Tall Buildings
  • Geological Modeling and Analysis
  • Cooperative Communication and Network Coding
  • Hygrothermal properties of building materials
  • Economic and Technological Systems Analysis
  • Technology Assessment and Management
  • Privacy, Security, and Data Protection
  • Tree Root and Stability Studies
  • Advanced Computational Techniques and Applications
  • Wireless Networks and Protocols
  • Environmental Monitoring and Data Management

Nanjing University of Posts and Telecommunications
2024-2025

Different from conventional federated learning (FL), which relies on a central server for model aggregation, decentralized FL (DFL) exchanges models among edge servers, thus improving the robustness and scalability. When deploying DFL into Internet of Things (IoT), limited wireless resources cannot provide simultaneous access to massive devices. One must perform client scheduling balance convergence rate accuracy. However, heterogeneity computing communication across devices, combined with...

10.3390/e27040439 article EN cc-by Entropy 2025-04-18

Clustered Vehicular Federated Learning (CVFL) can be used to improve traffic safety, increase efficiency, and reduce vehicle carbon emissions. Therefore, it is extremely promising in intelligent transportation systems. However, practice, difficult accurately cluster vehicular clients with mobility according data distribution. In addition, may reluctant contribute their computation communication resources perform learning tasks if the CVFL server does not give them proper incentives. this...

10.1109/tits.2024.3376792 article EN IEEE Transactions on Intelligent Transportation Systems 2024-03-27

The rapid development of science and technology is driving the shape electronic warfare to change dramatically, especially under influence quantum communication artificial intelligence (AI) technology. This article comprehensively explores innovative approaches readiness in 21st century, with a focus on composite application modern equipment. non-reproducibility anti-interference characteristics communication, as well decision making learning ability intelligence, are studied this paper,...

10.22158/asir.v8n4p196 article EN Applied Science and Innovative Research 2024-11-29
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