Model substructure learning aims to find an invariant network substructu...
Federated learning (FL) is an emerging technique that trains massive and...
Mixed-precision quantization mostly predetermines the model bit-width
se...
Recent studies show that even highly biased dense networks contain an
un...
Network pruning is a promising way to generate light but accurate models...