Decentralized non-convex online optimization with adaptive momentum estimation and quantized communication
Abstract In this work, we consider the decentralized non-convex online optimization problem over an undirected network. To solve the problem over a communication-efficient manner, we propose a novel quantized decentralized adaptive momentum gradient descent algorithm based on the adaptive momentum e...
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Springer
2025-03-01
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| Sarja: | Complex & Intelligent Systems |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/s40747-025-01818-8 |