1 citations · 1 across the 3 of their papers we have counts for
3 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,…
cs.NI2018
Performant TCP for Low-Power Wireless Networks
Sam Kumar, Michael P Andersen, Hyung-Sin Kim +1
Low-power and lossy networks (LLNs) enable diverse applications integrating many resource-constrained embedded devices, often requiring interconnectivity with existing TCP/IP netwo…