Decentralized Federated Graph Learning via Surrogate Model
Federated Graph Learning (FGL) enables model training without requiring each client to share local graph data, effectively breaking data silos by aggregating the training parameters from each terminal while safeguarding data ... | Find, read and cite all the research you need on Tech Science Press
Authors
- Haiying Liu (ORCID: https://orcid.org/0000-0002-4672-0033)
- Ruichun Gu
- Bolin Zhang (ORCID: https://orcid.org/0000-0002-6315-1856)
Institutions
- Inner Mongolia University of Science and Technology (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-11
- DOI
- https://doi.org/10.32604/cmc.2024.060331
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Inner Mongolia University
- Natural Science Foundation of Inner Mongolia