LMLS Lab.

Large-Scale Machine Learning Systems Lab.

@ Inha University

대형 머신러닝 시스템 연구실

Our Mission

The Large-Scale Machine Learning Systems Lab. studies critical problems in Machine Learning, Data Science, and High-Performance Computing. We currently pursue the following three research directions: 1) System-aware neural network training algorithms; 2) Federated Learning on heterogeneous systems; 3) Applied Machine Learning for scientific applications.

Lab. News

[June 2025] Sunwoo Lee has been recognized as an OUTSTANDING REVIEWER (top 10%) in KDD 2025.
[April 2025] Jihyun's paper, "Highly Stable Two-level Current Fluctuation in Complex Oxide Heterostructures" has been accepted by Nature Communications (JCR 6.6%, IF: 14.7). Congratulations!
[April 2025] Jihyun's paper, "Machine Learning Approach to Characterize Ferromagnetic La0.7Sr0.3MnO3 Thin Films via Featurization of Surface Morphology" has been accepted by Advanced Science (JCR 6.5%, IF: 14.3)! Congratulations!
[March 2025] Hyuntak will join LMLS-lab as a graduate student, Welcome!
[March 2025] Sunwoo Lee will serve as a Department Vice Chair from March 2025.
[February 2025] Sunwoo Lee will give a talk at Hanyang University about system-efficient federated learning methods on 2/26.
[February 2025] Sunwoo Lee gave a lecture (Introduction to Federated Learning) in BK-21 AI Winter School at Inha University.
[December 2024] Taekyun and Seungjun will join LMLS-lab as undergrad research interns, Welcome!
[December 2024] Sunwoo Lee is attending KSC in Yeosu, South Korea (12/18~12/20).
[September 2024] Our lab received 'Mid-Career Research Grant Award' from NRF!
[September 2024] Jisoo will join LMLS-lab as a graduate student, Welcome!
[August 2024] Sunwoo Lee is attending KDD in Barcelona, Spain (8/23~8/29).
[August 2024] Our lab will be affiliated with BK-21 program from 2nd semester!
[July 2024] Sunwoo Lee gave a talk at Sungkyunkwan University about model aggregation methods in modern distributed machine learning on 7/3.
[June 2024] Sunwoo Lee is attending KCC in Jeju, South Korea (6/25~6/28).
[May 2024] A paper was accepted in KDD 2024 (BK21 IF:4), S. Lee, Layer-Wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning, 2024.
[April 2024] A paper was accepted in IEEE Transactions on Mobile Computing (IF: 7.9, Q1), S. Lee et al., EmbracingFL: Enabling Weak Client Participation via Partial Model Training, 2024.
[March 2024] Junhyuk and Jihyun Joined LMLS-lab as a graduate student!