GRAND features both soft-input and hard-input variants that are well sui...
Federated learning (FL) is an emerging privacy-preserving distributed
le...
The unstructured sparsity after pruning poses a challenge to the efficie...
Recent literature found that convolutional neural networks (CNN) with la...
Polar codes achieve outstanding error correction performance when using
...
Due to their provably capacity-achieving performance, polar codes have
a...
As the first kind of forward error correction (FEC) codes that achieve
c...
Polar code is a breakthrough in coding theory. Using list successive
can...
Contemporary Deep Neural Network (DNN) contains millions of synaptic
con...