C.3: Locally Private Graph Neural Networks: Difference between revisions
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• '''Short Description''': | • '''Short Description''': | ||
Federated training of Graph Neural Networks (GNNs) with Local Differential Privacy, | |||
The code repository contains a python script, which can be used to train locally private GNNs, and a notebook to demonstrate the results. | |||
• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/locally-private-graph-neural-networks | |||
• '''Reference, URL''': | |||
• '''Relevant Domain/Industry''': Research | • '''Relevant Domain/Industry''': Research | ||
• '''Application in relevant Projects/Initiatives''': | • '''Application in relevant Projects/Initiatives''': AI4Media | ||
• '''Type''': | • '''Type''': Jupyter Notebook | ||
• '''AI Breadth''': | • '''AI Breadth''': | ||
• '''Learning Ability''': | • '''Learning Ability''': Graph Neural Networks | ||
• '''Related technologies''': | • '''Related technologies''': | ||
• '''License Information''': | • '''License Information''': MIT license (MIT) | ||
• '''Related to circularity and sustainability''': | • '''Related to circularity and sustainability''': Collaborative AI | ||
• '''Audience''': | • '''Audience''': Developers | ||
Revision as of 14:04, 26 April 2023
• Short Description: Federated training of Graph Neural Networks (GNNs) with Local Differential Privacy, The code repository contains a python script, which can be used to train locally private GNNs, and a notebook to demonstrate the results.
• Reference, URL: https://www.ai4europe.eu/research/ai-catalog/locally-private-graph-neural-networks
• Relevant Domain/Industry: Research
• Application in relevant Projects/Initiatives: AI4Media
• Type: Jupyter Notebook
• AI Breadth:
• Learning Ability: Graph Neural Networks
• Related technologies:
• License Information: MIT license (MIT)
• Related to circularity and sustainability: Collaborative AI
• Audience: Developers
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