Scalable, Federated Gaussian Process Training for Decentralized Multi-Agent Systems
Gaussian process (GP) training of kernel hyperparameters still remains a major challenge due to high computational complexity. The typical GP training method employs maximum likelihood estimation to solve an optimization problem that requires cubic computations for each iteration. In addition, GP tr...
| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10542960/ |