A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion
Fuente:
arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2019
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| Sujets: | |
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| _version_ | 1866929641208414208 |
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| author | Hanzely, Filip Konečný, Jakub Loizou, Nicolas Richtárik, Peter Grishchenko, Dmitry |
| author_facet | Hanzely, Filip Konečný, Jakub Loizou, Nicolas Richtárik, Peter Grishchenko, Dmitry |
| contents | In this work we present a randomized gossip algorithm for solving the average consensus problem while at the same time protecting the information about the initial private values stored at the nodes. We give iteration complexity bounds for the method and perform extensive numerical experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1901_09367 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion Hanzely, Filip Konečný, Jakub Loizou, Nicolas Richtárik, Peter Grishchenko, Dmitry Optimization and Control Distributed, Parallel, and Cluster Computing Machine Learning Multiagent Systems Systems and Control In this work we present a randomized gossip algorithm for solving the average consensus problem while at the same time protecting the information about the initial private values stored at the nodes. We give iteration complexity bounds for the method and perform extensive numerical experiments. |
| title | A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion |
| topic | Optimization and Control Distributed, Parallel, and Cluster Computing Machine Learning Multiagent Systems Systems and Control |
| url | https://arxiv.org/abs/1901.09367 |