Online Supervised Learning with Distributed Features over Multiagent System
Most current online distributed machine learning algorithms have been studied in a data-parallel architecture among agents in networks. We study online distributed machine learning from a different perspective, where the features about the same samples are observed by multiple agents that wish to co...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8830359 |