Resilient monotone submodular function maximization
In this paper, we focus on applications in machine learning, optimization, and control that call for the resilient selection of a few elements, e.g. features, sensors, or leaders, against a number of adversarial denial-of-service attacks or failures. In general, such resilient optimization problems...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2017
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