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Se-Young Yun — most-cited papers & profile · Federated Learning
← authors
·
overview
Se-Young Yun
33
papers ·
130
citations ·
19
h-index
Samsung (South Korea)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedBABU: Towards Enhanced Representation for Federated Image Classification
2021 · 48 citations
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
2021 · 44 citations
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
2020 · 26 citations
Supernet Training for Federated Image Classification under System Heterogeneity
2022 · 3 citations
Re-thinking Federated Active Learning based on Inter-class Diversity
2023 · 3 citations
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
2023 · 1 citations
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
2023
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels
2024
Hypernetwork-Driven Model Fusion for Federated Domain Generalization
2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
2024
Top co-authors
Jaehoon Oh
· 4
Gihun Lee
· 3
Minchan Jeong
· 3
Taehyeon Kim
· 3
Sangmin Bae
· 2
Sangmook Kim
· 2
Seongyoon Kim
· 2
Ami Beuret
· 1
Donggyu Kim
· 1
Hwanjun Song
· 1
Jae-Gil Lee
· 1
Jin-woo Lee
· 1
Topics
Federated Learning
Data Heterogeneity
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