18 citations · 149 across the 24 of their papers we have counts for
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cs.LG2023★ 2 cited
Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates
Youngkyu Lee, Jongho Park, Chang-Ock Lee
The performance of neural networks has been significantly improved by increasing the number of channels in convolutional layers. However, this increase in performance comes with a…
cs.LG2023
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime
Jongho Park, Jinchao Xu
We propose a new training algorithm, named DualFL (Dualized Federated Learning), for solving distributed optimization problems in federated learning. DualFL achieves communication…
cs.LG2021★ 13 cited
Two-level Group Convolution
Youngkyu Lee, Jongho Park, Chang-Ock Lee
Group convolution has been widely used in order to reduce the computation time of convolution, which takes most of the training time of convolutional neural networks. However, it i…