Distributed constrained online convex optimization with adaptive quantization
In this paper, we study distributed constrained online convex optimization (OCO) problem in a system consisting of a parameter server and n clients. Each client is associated with a local constraint function and time-varying local loss functions, which are disclosed sequentially. The clients seek to...
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Published in | Automatica (Oxford) Vol. 169; p. 111828 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.11.2024
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Subjects | |
Online Access | Get full text |
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