Decentralised convex optimisation with probability-proportional-to-size quantization
Communication is one of the bottlenecks of distributed optimisation and learning. To overcome this bottleneck, we propose a novel quantization method that transforms a vector into a sample of components' indices drawn from a categorical distribution with probabilities proportional to values at...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | EURO Journal on Computational Optimization |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2192440625000103 |
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