Kibaek Kim

66 papers A* 2A 2B 3Misc 1Journal 44Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
LUMINA: Foundation Models for Topology Transferable ACOPF.
CoRR
Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B. Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, Kibaek Kim
2026 J jnl
Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers.
CoRR
Yijiang Li, Zilinghan Li, Kyle Chard, Ian T. Foster, Todd S. Munson, Ravi K. Madduri, Kibaek Kim
2025 A conf
A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems.
IPDPS
Minseok Ryu, Geunyeong Byeon, Kibaek Kim
2025 J jnl
A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems.
CoRR
Minseok Ryu, Geunyeong Byeon, Kibaek Kim
2025 — conf
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning.
CDC
Yuyang Qiu, Kibaek Kim, Farzad Yousefian
2025 J jnl
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning.
CoRR
Yuyang Qiu, Kibaek Kim, Farzad Yousefian
2025 — conf
Cost-Aware Federated Learning on the Cloud.
eScience
Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025 — conf
Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science.
TPS-ISA
Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri
2025 J jnl
Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science.
CoRR
Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, Ravi K. Madduri
2025 J jnl
FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud.
CoRR
Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr V. Kindratenko, Kibaek Kim, Ravi K. Madduri
2025 Misc conf
FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems.
SEC
Zhonghao Chen, Weicong Chen, Duo Zhang, Kibaek Kim, Guanpeng Li, Sheng Di, Xiaoyi Lu
2025 — conf
FedSpaLLM: Federated Pruning of Large Language Models.
NAACL (Long Papers)
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2025 B conf
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction.
IJCNN
Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di
2025 J jnl
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction.
CoRR
Anh Van Nguyen, Diego Klabjan, Minseok Ryu, Kibaek Kim, Zichao Di
2025 — conf
GridMind: LLMs-Powered Agents for Power System Analysis and Operations.
SC Workshops
Hongwei Jin, Kibaek Kim, Jonghwan Kwon
2025 J jnl
GridMind: LLMs-Powered Agents for Power System Analysis and Operations.
CoRR
Hongwei Jin, Kibaek Kim, Jonghwan Kwon
2025 J jnl
Leveraging GPU Batching for Scalable Nonlinear Programming through Massive Lagrangian Decomposition.
SIAM J. Sci. Comput.
Youngdae Kim, François Pacaud, Michel Schanen, Kibaek Kim, Mihai Anitescu
2025 J jnl
Two-Stage Distributionally Robust Conic Linear Programming over 1-Wasserstein Balls.
SIAM J. Optim.
Geunyeong Byeon, Kaiwen Fang, Kibaek Kim
2025 J jnl
gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation.
CoRR
Alban Puech, Matteo Mazzonelli, Celia Cintas, Tamara Govindasamy, Mangaliso Mngomezulu, Jonas Weiss, Matteo Baù, Anna Varbella, François Mirallès, Kibaek Kim, Le Xie, Hendrik F. Hamann, Etienne Eben Vos, Thomas Brunschwiler
2024 J jnl
A Perspective on Foundation Models for the Electric Power Grid.
CoRR
Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev, Leonardo S. A. Martins, Alban Puech, Anna Varbella, Jonas Weiss, Juan Bernabé-Moreno, Alexandre Blondin Massé, Seong Choi, Ian T. Foster, Bri-Mathias S. Hodge, Rishabh Jain, Kibaek Kim, Vincent Mai, François Mirallès, Martin De Montigny, Octavio Ramos-Leaños, Hussein Suprême, Le Xie, El-Nasser S. Youssef, Arnaud Zinflou, Alexander J. Belvi, Ricardo J. Bessa, Bishnu Prasad Bhattari, Johannes Schmude, Stanislav Sobolevsky
2024 J jnl
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers.
CoRR
Shourya Bose, Yu Zhang, Kibaek Kim
2024 J jnl
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.
CoRR
Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri
2024 — conf
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System.
TPS-ISA
Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez
2024 J jnl
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System.
CoRR
Ravi K. Madduri, Zilinghan Li, Tarak Nath Nandi, Kibaek Kim, Minseok Ryu, Alex Rodriguez
2024 J jnl
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays.
CoRR
Charikleia Iakovidou, Kibaek Kim
2024 J jnl
Distributionally Robust Decentralized Volt-Var Control With Network Reconfiguration.
IEEE Trans. Smart Grid
Geunyeong Byeon, Kibaek Kim
2024 A* conf
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler.
ICLR
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024 A conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
ICDCS
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 — conf
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
IPDPS (Workshops)
Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024 J jnl
FedSpaLLM: Federated Pruning of Large Language Models.
CoRR
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2024 J jnl
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption.
CoRR
Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim
2024 — conf
GPU-Accelerated Sequential Quadratic Programming Algorithm for Solving ACOPF.
CDC
Bowen Li, Kibaek Kim
2024 J jnl
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.
CoRR
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024 B conf
Privacy-Preserving Federated Learning for Science: Challenges and Research Directions.
IEEE Big Data
Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2024 J jnl
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints.
CoRR
Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
2024 — conf
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints.
L4DC
Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
2024 J jnl
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2.
CoRR
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024 J jnl
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2.
Comput. Sci. Eng.
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2024 A* conf
SparseLLM: Towards Global Pruning of Pre-trained Language Models.
NeurIPS
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2023 B conf
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
e-Science
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023 J jnl
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
CoRR
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
2023 J jnl
Differentially Private Distributed Convex Optimization.
CoRR
Minseok Ryu, Kibaek Kim
2023 J jnl
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.
CoRR
Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2023 J jnl
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.
CoRR
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger
2023 J jnl
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.
CoRR
Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri
2023 J jnl
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients.
CoRR
Shourya Bose, Kibaek Kim
2023 J jnl
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation.
CoRR
Shourya Bose, Yu Zhang, Kibaek Kim
2022 — conf
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning.
IPDPS Workshops
Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri
2022 J jnl
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning.
CoRR
Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri
2022 — conf
Accelerated Computation and Tracking of AC Optimal Power Flow Solutions Using GPUs.
ICPP Workshops
Youngdae Kim, Kibaek Kim
2022 J jnl
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates.
CoRR
Minseok Ryu, Kibaek Kim
2022 J jnl
Scalable branching on dual decomposition of stochastic mixed-integer programming problems.
Math. Program. Comput.
Kibaek Kim, Brian C. Dandurand
2021 J jnl
A Bilevel Approach for Identifying the Worst Contingencies for Nonconvex Alternating Current Power Systems.
SIAM J. Optim.
Brian C. Dandurand, Kibaek Kim, Sven Leyffer
2021 J jnl
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.
CoRR
Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn
2021 J jnl
Differentially Private Federated Learning via Inexact ADMM.
CoRR
Minseok Ryu, Kibaek Kim
2021 J jnl
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.
CoRR
Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
2019 J jnl
An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming.
SIAM J. Optim.
Kibaek Kim, Cosmin G. Petra, Victor M. Zavala
2018 J jnl
Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs.
Math. Program. Comput.
Kibaek Kim, Victor M. Zavala
2017 J jnl
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties.
Oper. Res.
Victor M. Zavala, Kibaek Kim, Mihai Anitescu, John R. Birge
2016 J jnl
Data Centers as Dispatchable Loads to Harness Stranded Power.
CoRR
Kibaek Kim, Fan Yang, Victor M. Zavala, Andrew A. Chien
2015 J jnl
A Two-Stage Stochastic Integer Programming Approach to Integrated Staffing and Scheduling with Application to Nurse Management.
Oper. Res.
Kibaek Kim, Sanjay Mehrotra
2014 J jnl
Adaptive Intra Prediction Mode Signaling Approach in H.264/AVC.
IEICE Trans. Commun.
Kibaek Kim, Gwanggil Jeon, Jechang Jeong
2014 — conf
Improved Residual DPCM for HEVC Lossless Coding.
SIBGRAPI
Gwanggil Jeon, Kibaek Kim, Jechang Jeong
2014 — conf
Improvement of Implicit Residual DPCM for HEVC.
SITIS
Kibaek Kim, Gwanggil Jeon, Jechang Jeong
2014 J jnl
Piecewise DC prediction in HEVC.
Signal Process. Image Commun.
Kibaek Kim, Gwanggil Jeon, Jechang Jeong
2012 — conf
Advanced Hybrid Interpolation Based on Edge Direction Extracted from the DCT Coefficient Distribution.
SITIS
Jae-Hun Kim, Kibaek Kim, Janghyeok Yun, Jechang Jeong, Gwanggil Jeon