윤대건

윤대건
Daegun Yoon

Email

kljp at ajou.ac.kr

Research interests

Machine Learning, Parallel Algorithm, Distributed System

Introduction

Daegun Yoon is a Ph.D. candidate at the Department of Artificial Intelligence, Ajou University. He received the B.S. in the Department of Software, Ajou University, in 2018.

Publications

2024

23.

Yoon, Daegun; Oh, Sangyoon

Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning
🌏 InternationalConference

The 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2024), 2024.

Links | BibTeX

2023

22.

Yoon, Daegun; Oh, Sangyoon

MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training
🌏 InternationalConference

30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2023), 2023.

Links | BibTeX

21.

Yoon, Daegun; Oh, Sangyoon

DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification
🌏 InternationalConference

International Conference on Parallel Processing (ICPP) 2023, 2023.

Abstract | Links | BibTeX

20.

유미리,; 윤대건,; 오상윤,

연합학습 기법들의 성능평가를 지원하는 이기종 기반의 실험 플랫폼 설계
🇰🇷 DomesticConference

2023년도 한국통신학회 하계종합학술발표회 , 한국통신학회 2023.

Links | BibTeX

19.

Lee, Seungjun; Yu, Miri; Yoon, Daegun; Oh, Sangyoon

Can hierarchical client clustering mitigate the data heterogeneity effect in federated learning?
🌏 InternationalConference

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2023, ISBN: 979-8-3503-1200-3.

Abstract | Links | BibTeX

18.

최지헌,; 유미리,; 윤대건,; 오상윤,

연합학습에서의 보안 취약점 분석
🇰🇷 DomesticConference

2023년도 한국통신학회 동계종합학술발표회 논문집 , vol. 80, 한국통신학회 2023, ISSN: 2383-8302.

Abstract | Links | BibTeX

17.

Yoon, Daegun; Jeong, Minjoong; Oh, Sangyoon

SAGE: toward on-the-fly gradient compression ratio scaling
🌏 InternationalJournal Article

In: The Journal of Supercomputing, pp. 1–23, 2023.

Abstract | Links | BibTeX

2022

16.

Yoon, Daegun; Jeong, Minjoong; Oh, Sangyoon

WAVE: designing a heuristics-based three-way breadth-first search on GPUs
🌏 InternationalJournal Article

In: The Journal of Supercomputing, 2022, (2).

Abstract | Links | BibTeX

15.

윤대건,; 노병희,; 오상윤,

전술망의 라우팅 성능 개선을 위한 성능 지표 분석 기반 정책 엔진 설계
🇰🇷 DomesticJournal Article

In: 한국통신학회 논문지, vol. 47, iss. 9, no. 9, pp. 1353-1359, 2022.

Abstract | Links | BibTeX

14.

Yoon, Daegun; Oh, Sangyoon

Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment
Conference

The 8th International Conference on Next Generation Computing (ICNGC) 2022, 2022.

Abstract | Links | BibTeX

13.

이승준,; 윤대건,; 오상윤,

SDN 정책엔진의 사용자 모듈을 위한 분석 요청 정의 언어
🇰🇷 DomesticJournal Article

In: 한국통신학회 논문지, vol. 47, no. 9, pp. 1360-1369, 2022.

Abstract | Links | BibTeX

12.

Park, Juwon; Yoon, Daegun; Yeo, Sangho; Oh, Sangyoon

AMBLE: Adjusting Mini-Batch and Local Epoch for Federated Learning with Heterogeneous Devices
🌏 InternationalJournal Article

In: Journal of Parallel and Distributed Computing, 2022, ISSN: 0743-7315.

Abstract | Links | BibTeX

11.

Yoon, Daegun; Oh, Sangyoon

SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs
🌏 InternationalJournal Article

In: Sensors, vol. 22, no. 13, pp. 4899, 2022.

Abstract | Links | BibTeX

10.

정현석,; 유미리,; 윤대건,; 이승준,; 오상윤,

재난 대응 기계학습 모델의 Data Drift 문제에 대한 MLOps 기반 대응 기법
🇰🇷 DomesticConference

2022 한국차세대컴퓨팅학회 춘계학술대회, 한국차세대컴퓨팅학회, 2022.

Abstract | Links | BibTeX

2021

9.

Lee, Seungjun; Yoon, Daegun; Yeo, Sangho; Oh, Sangyoon

Mitigating Cold Start Problem in Serverless Computing with Function Fusion
🌏 InternationalJournal Article

In: Sensors, vol. 21, no. 24, 2021, ISSN: 1424-8220.

Abstract | Links | BibTeX

8.

Yoon, Daegun; Oh, Sangyoon

Traversing Large Road Networks on GPUs with Breadth-First Search
🌏 InternationalConference 📃 In press

The 7th International Conference on Next Generation Computing, 2021.

Abstract | BibTeX

7.

Lee, Seungjun; Yoon, Daegun; Oh, Sangyoon

Imitation learning for VM placement problem using demonstration data generated by heuristics
🌏 InternationalConference 📃 In press

17th Int. Conference on Data Science (ICDATA’21), 2021.

Abstract | Links | BibTeX

6.

윤대건,; 노병희,; 오상윤,

전술망 성능 개량을 위한 정책 엔진 인터페이스 설계
🇰🇷 DomesticConference 📃 In press

2021 한국군사과학기술학회 종합학술대회, 2021.

BibTeX

5.

Yoon, Daegun; Li, Zhetao; Oh, Sangyoon

Balanced content space partitioning for pub/sub: a study on impact of varying partitioning granularity
🌏 InternationalJournal Article

In: The Journal of Supercomputing, pp. 1–27, 2021.

Links | BibTeX

2020

4.

Yoon, Daegun; Park, Gyudong; Oh, Sangyoon

Exploring a system architecture of content-based publish/subscribe system for efficient on-the-fly data dissemination
🌏 InternationalJournal Article

In: Concurrency and Computation: Practice and Experience, pp. e6090, 2020.

Links | BibTeX

3.

Yoon, Daegun; Park, Gyudong; Oh, Sangyoon

CPartition: a Correlation-Based Space Partitioning for Content-Based Publish/Subscribe Systems with Skewed Workload
🌏 InternationalConference

2020 IEEE International Conference on Big Data and Smart Computing (BigComp), IEEE 2020, ISBN: 978-1-7281-6034-4.

Links | BibTeX

2.

윤대건,; 오상윤,

Software-Defined Network 에서의 Conflict Resolution 을 위한 정책엔진 구조 및 전략 분석
🇰🇷 DomesticConference

한국통신학회 학술대회논문집, 2020.

Abstract | Links | BibTeX

2018

1.

윤대건,; 오상윤,

동종 운영체제 환경에서의 가상 머신 마이그레이션 성능 분석
🇰🇷 DomesticConference

한국정보과학회 KCC 학술대회, 2018.

BibTeX