FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
FedGraphNN provides a platform for securely training machine learning models on graph-structured data across multiple organizations without sharing the raw data. It takes in local graph datasets from different parties and produces a collaboratively trained graph neural network model. This is ideal for researchers and organizations working with sensitive, distributed graph data.
183 stars. No commits in the last 6 months.
Use this if you need to train a graph neural network model using data spread across several different locations or organizations, and data privacy is a critical concern.
Not ideal if all your graph data is centrally located and you do not require a privacy-preserving distributed training approach.
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Dec 19, 2023
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