![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Kibaek Kim
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c9]Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler. ICLR 2024 - [c8]Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) 2024: 1187-1188 - [c7]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC 2024: 1539-1551 - [i19]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR abs/2401.06820 (2024) - [i18]Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2. CoRR abs/2402.12271 (2024) - [i17]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR abs/2402.17946 (2024) - [i16]Shourya Bose, Yu Zhang, Kibaek Kim:
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers. CoRR abs/2404.01517 (2024) - [i15]Charikleia Iakovidou, Kibaek Kim:
Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays. CoRR abs/2405.10123 (2024) - [i14]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 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:
A Perspective on Foundation Models for the Electric Power Grid. CoRR abs/2407.09434 (2024) - 2023
- [c6]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:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [i13]Minseok Ryu, Kibaek Kim:
Differentially Private Distributed Convex Optimization. CoRR abs/2302.14514 (2023) - [i12]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
:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i11]Shourya Bose, Kibaek Kim:
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients. CoRR abs/2309.13194 (2023) - [i10]Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri:
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler. CoRR abs/2309.14675 (2023) - [i9]Shourya Bose, Yu Zhang, Kibaek Kim:
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation. CoRR abs/2312.00036 (2023) - [i8]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:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - [i7]Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR abs/2312.13461 (2023) - 2022
- [j8]Kibaek Kim
, Brian C. Dandurand
:
Scalable branching on dual decomposition of stochastic mixed-integer programming problems. Math. Program. Comput. 14(1): 1-41 (2022) - [c5]Youngdae Kim, Kibaek Kim:
Accelerated Computation and Tracking of AC Optimal Power Flow Solutions Using GPUs. ICPP Workshops 2022: 19:1-19:8 - [c4]Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri
:
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. IPDPS Workshops 2022: 1074-1083 - [i6]Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri:
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. CoRR abs/2202.03672 (2022) - [i5]Minseok Ryu, Kibaek Kim:
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates. CoRR abs/2202.09409 (2022) - 2021
- [j7]Brian C. Dandurand
, Kibaek Kim
, Sven Leyffer:
A Bilevel Approach for Identifying the Worst Contingencies for Nonconvex Alternating Current Power Systems. SIAM J. Optim. 31(1): 702-726 (2021) - [i4]Minseok Ryu, Kibaek Kim:
Differentially Private Federated Learning via Inexact ADMM. CoRR abs/2106.06127 (2021) - [i3]Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu:
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. CoRR abs/2106.14995 (2021) - [i2]Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn:
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR abs/2110.11991 (2021)
2010 – 2019
- 2019
- [j6]Kibaek Kim
, Cosmin G. Petra
, Victor M. Zavala:
An Asynchronous Bundle-Trust-Region Method for Dual Decomposition of Stochastic Mixed-Integer Programming. SIAM J. Optim. 29(1): 318-342 (2019) - 2018
- [j5]Kibaek Kim
, Victor M. Zavala:
Algorithmic innovations and software for the dual decomposition method applied to stochastic mixed-integer programs. Math. Program. Comput. 10(2): 225-266 (2018) - 2017
- [j4]Victor M. Zavala, Kibaek Kim
, Mihai Anitescu
, John R. Birge
:
A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties. Oper. Res. 65(3): 557-576 (2017) - 2016
- [i1]Kibaek Kim, Fan Yang, Victor M. Zavala, Andrew A. Chien:
Data Centers as Dispatchable Loads to Harness Stranded Power. CoRR abs/1606.00350 (2016) - 2015
- [j3]Kibaek Kim
, Sanjay Mehrotra:
A Two-Stage Stochastic Integer Programming Approach to Integrated Staffing and Scheduling with Application to Nurse Management. Oper. Res. 63(6): 1431-1451 (2015) - 2014
- [j2]Kibaek Kim, Gwanggil Jeon
, Jechang Jeong:
Adaptive Intra Prediction Mode Signaling Approach in H.264/AVC. IEICE Trans. Commun. 97-B(9): 1990-1999 (2014) - [j1]Kibaek Kim, Gwanggil Jeon
, Jechang Jeong:
Piecewise DC prediction in HEVC. Signal Process. Image Commun. 29(9): 945-950 (2014) - [c3]Gwanggil Jeon
, Kibaek Kim, Jechang Jeong:
Improved Residual DPCM for HEVC Lossless Coding. SIBGRAPI 2014: 95-102 - [c2]Kibaek Kim, Gwanggil Jeon
, Jechang Jeong:
Improvement of Implicit Residual DPCM for HEVC. SITIS 2014: 652-658 - 2012
- [c1]Jae-Hun Kim
, Kibaek Kim, Janghyeok Yun, Jechang Jeong, Gwanggil Jeon
:
Advanced Hybrid Interpolation Based on Edge Direction Extracted from the DCT Coefficient Distribution. SITIS 2012: 918-924
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 18:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint