most citedBitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

Jiseok Youn, Jaehun Song, Hyung-Sin Kim +1

Deep neural network quantization with adaptive bitwidths has gained increasing attention due to the ease of model deployment on various platforms with different resource budgets. I…

cs.LG2022

Personalized Federated Learning with Server-Side Information

Jaehun Song, Min-hwan Oh, Hyung-Sin Kim

Personalized Federated Learning (FL) is an emerging research field in FL that learns an easily adaptable global model in the presence of data heterogeneity among clients. However,…