decentralized-gnn
A fully peer-to-peer framework to define and test graph neural network fragments for decentralized devices to classify themselves.
Developed by
License
Apache License 2.0 (Apache-2.0)
Main Characteristic
- Fragmented gossip learning or pre-training of base classifiers
- Decentralized graph diffusion across model fragments
- Decentralized variation of decoupled graph neural networks
- Asynchronous and irregular communication
- Theoretical guarantees
- Simulations for experimental validation of new algorithms
Research areas
Collaborative AI
Business Categories
Cloud, Edge and Infrastructure
Last updated
16.09.2022 - 09:52