C.2: Decentralized-gnn: Difference between revisions
No edit summary |
No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 4: | Line 4: | ||
• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/decentralized-gnn | • '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/decentralized-gnn | ||
) | |||
• ''' | • ''''Applicable Business Category''': Research (Cloud, Edge and Infrastructure) | ||
• '''Application in relevant Projects/Initiatives''': AI4Media | • '''Application in relevant Projects/Initiatives''': AI4Media | ||
• '''Type''': Library | • '''Asset Type''': Library | ||
• '''AI Breadth''': | • '''AI Breadth''': ML, LSTM | ||
• '''Learning Ability''': Graph Neural Networks | • '''Learning Ability''': Graph Neural Networks | ||
• '''Related technologies''': | • '''Related technologies''': Multi Agent systems | ||
• '''Applicable Research Area''': Collaborative AI | |||
• '''Applicable Technical Category''': Ai Services | |||
• '''License Information''': Apache License 2.0 (Apache-2.0) | • '''License Information''': Apache License 2.0 (Apache-2.0) | ||
| Line 21: | Line 25: | ||
• '''Related to circularity and sustainability''': Collaborative AI | • '''Related to circularity and sustainability''': Collaborative AI | ||
• '''Audience''': | • '''Audience''': Data Scientists, Research | ||
Latest revision as of 10:24, 27 December 2024
• Short Description: A fully peer-to-peer framework to define and test graph neural network fragments for decentralized devices to classify themselves.
• Reference, URL: https://www.ai4europe.eu/research/ai-catalog/decentralized-gnn ) • 'Applicable Business Category: Research (Cloud, Edge and Infrastructure)
• Application in relevant Projects/Initiatives: AI4Media
• Asset Type: Library
• AI Breadth: ML, LSTM
• Learning Ability: Graph Neural Networks
• Related technologies: Multi Agent systems
• Applicable Research Area: Collaborative AI
• Applicable Technical Category: Ai Services
• License Information: Apache License 2.0 (Apache-2.0)
• Related to circularity and sustainability: Collaborative AI
• Audience: Data Scientists, Research
Go back to the AI portfolio of reference implementations
