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

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2 papers

cs.LG2026

HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning

Jiseok Youn, You Rim Choi, Goodsol Lee +3

Mobile devices face diverse resource constraints and non-IID data class distributions, requiring fast on-device inference for local in-distribution (ID) classes and on-demand remot…

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…