A Privacy-Masking Learning Algorithm for Online Distributed Optimization over Time-Varying Unbalanced Digraphs
This paper investigates a constrained distributed optimization problem enabled by differential privacy where the underlying network is time-changing with unbalanced digraphs. To solve such a problem, we first propose a differentially private online distributed algorithm by injecting adaptively adjus...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Hindawi Limited
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/cc4f81876be3408eacb60c3a1f4a9268 |
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