most citedKnowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection

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eess.SP2022★ 1 cited

Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection

Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler +4

To circumvent the non-parallelizability of recurrent neural network-based equalizers, we propose knowledge distillation to recast the RNN into a parallelizable feedforward structur…