Work

Decentralized Federated Graph Learning via Surrogate Model

Year: 2024

Type: article

Abstract: 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

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2024.060331

Authors: Bolin Zhang, Haiying Liu, Ruichun Gu

Institution: Inner Mongolia University of Science and Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: Inner Mongolia University, Natural Science Foundation of Inner Mongolia

OpenAlex ID: W4405266269