作者
Sasipim Srivallapanondh, Pedro Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K Turitsyn, Jaroslaw E Prilepsky
发表日期
2023/3/5
研讨会论文
Optical Fiber Communication Conference
页码范围
Th1F. 7
出版商
Optica Publishing Group
简介
To circumvent the non-parallelizability of recurrent neural network-based equalizers, we propose knowledge distillation to recast the RNN into a parallelizable feed-forward structure. The latter shows 38% latency decrease, while impacting the Q-factor by only 0.5 dB.
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