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2020
Conference Paper
Titel
Applications of distributed learning for optical communications networks
Abstract
In this talk, we will present a privacy-preserving distributed learning framework, which enables shared governance and ownership of ML models. The framework can contribute to the realization of autonomous optical networking and transmission paradigm.
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